Go ML Bindings ML Frameworks
Language bindings and wrappers for running machine learning inference in Go, including TensorFlow, MXNet, Caffe2, and other frameworks. Does NOT include Go implementations of ML algorithms from scratch, NLP tools, or general Go utilities.
There are 256 go ml bindings frameworks tracked. 7 score above 50 (established tier). The highest-rated is SPFlow/SPFlow at 68/100 with 310 stars. 2 of the top 10 are actively maintained.
Get all 256 projects as JSON
curl "https://pt-edge.onrender.com/api/v1/datasets/quality?domain=ml-frameworks&subcategory=go-ml-bindings&limit=20"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
| # | Framework | Score | Tier |
|---|---|---|---|
| 1 |
SPFlow/SPFlow
Sum Product Flow: An Easy and Extensible Library for Sum-Product Networks |
|
Established |
| 2 |
gomlx/gomlx
GoMLX: An Accelerated Machine Learning Framework For Go |
|
Established |
| 3 |
montanaflynn/stats
A well tested and comprehensive Golang statistics library package with no... |
|
Established |
| 4 |
mattn/go-tflite
Go binding for TensorFlow Lite |
|
Established |
| 5 |
james-bowman/sparse
Sparse matrix formats for linear algebra supporting scientific and machine... |
|
Established |
| 6 |
NVIDIA/gpu-rest-engine
A REST API for Caffe using Docker and Go |
|
Established |
| 7 |
gomlx/onnx-gomlx
ONNX / GoMLX Conversion |
|
Established |
| 8 |
goldenrecursion/godel
Godel is Golden's open-source Python SDK that will provide developers and... |
|
Emerging |
| 9 |
dmitryikh/leaves
pure Go implementation of prediction part for GBRT (Gradient Boosting... |
|
Emerging |
| 10 |
emer/leabra
Go implementation of Leabra algorithm for biologically-based models of... |
|
Emerging |
| 11 |
luk-ai/lukai
Luk.ai Clients - Federated Machine Learning for Everyone! |
|
Emerging |
| 12 |
emoss08/Trenova
An AI-driven asset based Transportation Management System |
|
Emerging |
| 13 |
IEEE-VIT/pykitzoid
This is a repository containing a package coded in Go language, with the... |
|
Emerging |
| 14 |
gorgonia/gorgonia
Gorgonia is a library that helps facilitate machine learning in Go. |
|
Emerging |
| 15 |
asafschers/goscore
Go Scoring API for PMML |
|
Emerging |
| 16 |
cdipaolo/goml
On-line Machine Learning in Go (and so much more) |
|
Emerging |
| 17 |
patrikeh/go-deep
Artificial Neural Network |
|
Emerging |
| 18 |
kakao/n2
TOROS N2 - lightweight approximate Nearest Neighbor library which runs fast... |
|
Emerging |
| 19 |
oramasearch/onnx-go
onnx-go gives the ability to import a pre-trained neural network within Go... |
|
Emerging |
| 20 |
orktes/go-torch
LibTorch (PyTorch) bindings for Golang |
|
Emerging |
| 21 |
dwhitena/gc-ml
Go ML/AI Training Materials for GopherCon 2019 |
|
Emerging |
| 22 |
project-flogo/ml
Activities and examples for Machine Learning with Flogo |
|
Emerging |
| 23 |
Unity-Technologies/go-xgboost
XGBoost bindings for golang |
|
Emerging |
| 24 |
gopherdata/gophernotes
The Go kernel for Jupyter notebooks and nteract. |
|
Emerging |
| 25 |
Fontinalis/fonet
fonet is a deep neural network package for Go. |
|
Emerging |
| 26 |
lwch/gotorch
golang libtorch binding |
|
Emerging |
| 27 |
itsubaki/autograd
Automatic differentiation library for Go |
|
Emerging |
| 28 |
gyuho/dplearn
Learn Deep Learning The Hard Way |
|
Emerging |
| 29 |
songtianyi/go-mxnet-predictor
go binding for mxnet c_predict_api to do inference with pre-trained model |
|
Emerging |
| 30 |
sugarme/gotch
Go binding for Pytorch C++ API (libtorch) |
|
Emerging |
| 31 |
yunabe/lgo
Interactive Go programming with Jupyter |
|
Emerging |
| 32 |
sahandsafizadeh/qeep
Deep Learning framework in Go with Tensors, AutoGrad, and GPU acceleration |
|
Emerging |
| 33 |
danaugrs/go-tsne
t-Distributed Stochastic Neighbor Embedding (t-SNE) in Go |
|
Emerging |
| 34 |
nlpodyssey/spago
Self-contained Machine Learning and Natural Language Processing library in Go |
|
Emerging |
| 35 |
nlpodyssey/goslide
SLIDE (Sub-LInear Deep learning Engine) written in Go |
|
Emerging |
| 36 |
aunum/gold
Reinforcement Learning in Go |
|
Emerging |
| 37 |
e-XpertSolutions/go-cluster
k-modes and k-prototypes clustering algorithms implementation in Go |
|
Emerging |
| 38 |
zerfoo/zerfoo
A modular, accelerator-ready machine learning framework built in Go that... |
|
Emerging |
| 39 |
dwhitena/gophernet
A simple from-scratch neural net written in Go |
|
Emerging |
| 40 |
born-ml/born
Production-ready ML framework for Go with zero dependencies. Train and... |
|
Emerging |
| 41 |
mpraski/clusters
Cluster analysis library for Golang |
|
Emerging |
| 42 |
e-XpertSolutions/go-iforest
Isolation forest implementation in Go |
|
Emerging |
| 43 |
HappyHackingSpace/dit
HTML page, form and field type classifier using ML (LogReg + CRF) |
|
Emerging |
| 44 |
dereklstinson/gocudnn
Go Bindings for cudnn and other cuda pacakges. |
|
Emerging |
| 45 |
wamuir/graft
Go language bindings to the TensorFlow C API |
|
Emerging |
| 46 |
aunum/goro
A High-level Machine Learning Library for Go |
|
Emerging |
| 47 |
RenatoGeh/gospn
A free, open-source inference and learning library for Sum-Product Networks (SPN) |
|
Emerging |
| 48 |
ReconfigureIO/brain
This repo contains Go implementation and corresponding APIs for acceleration... |
|
Emerging |
| 49 |
LdDl/cnns
Convolutional Neural Networks in Go |
|
Emerging |
| 50 |
mirecl/catboost-cgo
CatBoost a fast, scalable, high performance Gradient Boosting on Decision... |
|
Emerging |
| 51 |
tsawler/go-metal
A high-performance deep learning library for Go that leverages Apple's Metal... |
|
Emerging |
| 52 |
nikolaydubina/go-featureprocessing
🔥 Fast, simple sklearn-like feature processing for Go |
|
Emerging |
| 53 |
therfoo/therfoo
An embedded deep learning library for Go. |
|
Emerging |
| 54 |
dathoangnd/gonet
Neural Network for Go. |
|
Emerging |
| 55 |
kujenga/goml
Experimental ML implementations in Go |
|
Emerging |
| 56 |
jat001/gotorch
PyTorch in Go, using LibTorch. |
|
Emerging |
| 57 |
Xamber/Varis
Golang Neural Network |
|
Emerging |
| 58 |
kuroko1t/gdeep
simple golang deep learning framework |
|
Emerging |
| 59 |
rai-project/go-mxnet
Go binding to MXNet C API to do inference with pre-trained model in Go |
|
Emerging |
| 60 |
surenderthakran/gomind
A simplistic Neural Network Library in Go |
|
Emerging |
| 61 |
causalgo/lasso
⚡ Parallel LASSO Regression in Go | Efficient feature selection with L1... |
|
Emerging |
| 62 |
milosgajdos/gopfield
Hopfield neural networks in Go |
|
Emerging |
| 63 |
rai-project/mxnet
MXNet agent for MLModelScope |
|
Emerging |
| 64 |
rai-project/tensorflow
TensorFlow agent for MLModelScope |
|
Emerging |
| 65 |
florianl/matf
Library to extract information from MAT-files into golang structures |
|
Emerging |
| 66 |
minio/go-cv
Golang wrapper for https://github.com/ermig1979/Simd |
|
Emerging |
| 67 |
rai-project/dlframework
Common code for all deep learning predictors used by MLModelScope |
|
Emerging |
| 68 |
skyhookml/skyhookml
SkyhookML is an easy-to-use web platform for computer vision. |
|
Emerging |
| 69 |
sgrodriguez/ddt
Golang Dynamic Decision Tree |
|
Emerging |
| 70 |
zupzup/ml-in-go-examples
Examples for my Blog-Series on Machine Learning in Go |
|
Emerging |
| 71 |
brannondorsey/go-runway
A small Go module for interfacing with RunwayML |
|
Emerging |
| 72 |
oharlem/clarifai-client-go
Clarifai client for Go |
|
Emerging |
| 73 |
ubccr/terf
Go library for reading/writing TensorFlow TFRecords file format |
|
Emerging |
| 74 |
infergo-ml/infergo
mirror of Infergo repository |
|
Emerging |
| 75 |
bourbaki/catboost-go
Catboost Go Wrapper |
|
Emerging |
| 76 |
itsubaki/neu
Deep Learning framework for Go from scratch |
|
Emerging |
| 77 |
kuroko1t/gotorch
go binding for pytorch |
|
Emerging |
| 78 |
milosgajdos/ncs
Movidius Neural Compute Stick V2.0 API Go bindings |
|
Emerging |
| 79 |
lazywei/lineargo
LinearGo (Go wrapper for LIBLINEAR): A Library for Large Linear Classification |
|
Emerging |
| 80 |
OGFris/GoStats
GoStats is a go library for math statistics mostly used in ML domains, it... |
|
Emerging |
| 81 |
TrizlyBear/PWS
🖼️ Image Classification project for school |
|
Emerging |
| 82 |
CodingBeard/tfkg
Create, train, and save Tensorflow Keras models all in Golang |
|
Emerging |
| 83 |
heupr/core
The legacy codebase for the Heupr application |
|
Emerging |
| 84 |
Plorenzo/goAdaline
Simple implementation of an Adaline neuron in Go. |
|
Emerging |
| 85 |
jolibrain/godd
🧠 DeepDetect package for easy integration in any Go project |
|
Emerging |
| 86 |
getumen/go-treelite
treelite runtime binding in Go |
|
Emerging |
| 87 |
syou6162/go-active-learning
go-active-learning is a command line annotation tool for binary... |
|
Emerging |
| 88 |
lafin/brief
Binary Robust Independent Elementary Features (BRIEF) |
|
Emerging |
| 89 |
gokadin/ai-simplest-network
The simplest form of an artificial neural network explained and demonstrated. |
|
Emerging |
| 90 |
ctava/tfcgo
quickly get up and running creating machine learning programs in go using... |
|
Emerging |
| 91 |
barnjamin/randomforest
Simple random forest |
|
Emerging |
| 92 |
YadaYuki/deeplearning-golang
Deep Leaning by Golang 👻 |
|
Emerging |
| 93 |
pforemski/gouda
Golang Utilities for Data Analysis |
|
Emerging |
| 94 |
pforemski/go-kdtree
A kd-tree implementation in Golang |
|
Emerging |
| 95 |
kozistr/catboost-server-rs
CatBoost server in Rust + gRPC |
|
Emerging |
| 96 |
simplyYan/GalaktaGlare
A broad, easy and fast framework for machine/deep learning in Go. |
|
Emerging |
| 97 |
scootpl/go-tensorflow-audio-example
An example of using a neural network model (LSTM) with the Tensorflow Go API. |
|
Emerging |
| 98 |
eraclitux/learn
Machine learning for Go [WIP] |
|
Emerging |
| 99 |
rai-project/caffe
Caffe agent for MLModelScope |
|
Emerging |
| 100 |
RedisAI/redisai-go
A Golang client for RedisAI |
|
Emerging |
| 101 |
PaluMacil/gophernet
a multilayer neural net written in go |
|
Experimental |
| 102 |
cyrildever/neural-networks-and-deep-learning-in-golang
Code adaptation of "Neural Networks and Deep Learning" book in Go |
|
Experimental |
| 103 |
tivvit/yap
Yet Another Pipeline |
|
Experimental |
| 104 |
kamil5b/knnGo
I created K-Nearest Neighbor Algorithm using Go language. Initially, this... |
|
Experimental |
| 105 |
pointlander/gradient
Reverse Mode Automatic Differentiation with Continuation Passing Style |
|
Experimental |
| 106 |
sjkaliski/infer
🔮 Use TensorFlow models in Go to evaluate Images (and more soon!) |
|
Experimental |
| 107 |
amikos-tech/pure-onnx
Pure-go ONNX Go binding |
|
Experimental |
| 108 |
Andrew-peng/go-dalle2
Unofficial Dalle-2 golang client library |
|
Experimental |
| 109 |
unweave/unweave-v1
Supabase for Machine Learning |
|
Experimental |
| 110 |
owulveryck/gorgonnx
Onnx To Gorgonia Unmarshaler (Test) |
|
Experimental |
| 111 |
nlpodyssey/gomaddness
Multiply-ADDitioN-lESS in Go. |
|
Experimental |
| 112 |
cyrildever/reinforcement-learning-in-golang
Code for the algorithms of the "Reinforcement Learning" book |
|
Experimental |
| 113 |
caguiclajmg/tensordock-cli
TensorDock CLI Client |
|
Experimental |
| 114 |
unixpickle/anynet
Framework for artificial neural networks |
|
Experimental |
| 115 |
Godwinh19/gotorch
Pytorch - Python + Golang = Gotorch |
|
Experimental |
| 116 |
breskos/gopher-learn
Golang neural network - fast and easy classification and regression. |
|
Experimental |
| 117 |
vseledkin/gortex
Golang ML package |
|
Experimental |
| 118 |
ar90n/kmeaaaaans
Simple kmeans clustering algorithm implementation with pure Go |
|
Experimental |
| 119 |
NoahSchiro/minigrad
A minimal implementation of neural networks in Go |
|
Experimental |
| 120 |
evalphobia/go-datarobot
datarobot supporting app and api client |
|
Experimental |
| 121 |
Peter-Lankton/machine-learning-with-golang
Inspired by machine learning with python. In this repo my TikTok data is... |
|
Experimental |
| 122 |
Satishdoyal/learning-golang
Learning Golang... |
|
Experimental |
| 123 |
AssetRipper/AssetRipper.Bindings.LibTorchSharp
Alternate bindings for LibTorchSharp |
|
Experimental |
| 124 |
adrian3ka/go-learn-ai
Machine Learning Collection For Golang |
|
Experimental |
| 125 |
MishraShivendra/golang_math
Machine learning functions written in goLang: |
|
Experimental |
| 126 |
justincpresley/go-bareml
go-bareml: A bare-bones, from scratch, no external dependency, entirely... |
|
Experimental |
| 127 |
uffy/mnist_example
使用神经网络识别手写数字 (MNIST 数据集) |
|
Experimental |
| 128 |
samber/dagobert
A simple Go client for the clip-as-service server |
|
Experimental |
| 129 |
FriedShrimpBBQ/model2wasm
Convert your favourite machine learning models to WASM |
|
Experimental |
| 130 |
w0rng/gofeat
Embedded feature store for Go |
|
Experimental |
| 131 |
lwch/tnn
go版本机器学习框架 |
|
Experimental |
| 132 |
unixpickle/imagenet
Fetch and use ImageNet images |
|
Experimental |
| 133 |
gregl83/go-binary-classify-nn
🤖🧠 GoLang Binary Classification Neural Network |
|
Experimental |
| 134 |
ranon-rat/neural-mines-sweeper
Im back bitches |
|
Experimental |
| 135 |
recoilme/flyml
perfomant mashine learning libraryes in Go |
|
Experimental |
| 136 |
harungurubudi/rolade
Minimal neural network toolkit in golang |
|
Experimental |
| 137 |
FootprintAI/go-nativeml
Go CGO bindings for native ML inference frameworks with prebuilt static libraries |
|
Experimental |
| 138 |
ThakurMayank5/gonn
An AI framework for Neural Networks written purely in go with no dependencies |
|
Experimental |
| 139 |
dustin-decker/featuremill
general-purpose fast, stateless, and deterministic feature extractor written... |
|
Experimental |
| 140 |
zasper-io/zasper-benchmark
Benchmarking Zasper v/s JupyterLab (Jupyter Server) |
|
Experimental |
| 141 |
aryanmaurya1/rocketc
Simple library for CSV data manipulation and mathematical computation. |
|
Experimental |
| 142 |
bleokosalp66/deep-learning-go
Practice project implementing deep learning techniques using Go. |
|
Experimental |
| 143 |
mlhher/pure-go-sgd
A lightweight, bare-metal Go implementation of Stochastic Gradient Descent... |
|
Experimental |
| 144 |
nikolaydubina/go-ml-benchmarks
⏱ Benchmarks of machine learning inference for Go |
|
Experimental |
| 145 |
mattn/gorgonia-fizzbuzz
FizzBuzz on Gorgonia |
|
Experimental |
| 146 |
wal99d/logistic-regression
Golang implementation of Logistic Regression from scratch |
|
Experimental |
| 147 |
DreamingRaven/darklantern
Go (Golang) encrypted deep learning library; Fully homomorphic encryption... |
|
Experimental |
| 148 |
orktes/influunt
Dataflow programming for Golang and Python |
|
Experimental |
| 149 |
telalabs/kit
A Go/Rust dual-language package for creating and administering toolkits and... |
|
Experimental |
| 150 |
pilillo/mastro
Data and Feature Catalogue in Go |
|
Experimental |
| 151 |
hiro4bbh/sticker
Package sticker provides a framework for multi-label classification. |
|
Experimental |
| 152 |
bsm/mlmetrics
Common metrics for evaluation of machine learning models |
|
Experimental |
| 153 |
qvantel/nerd
Machine learning as a (restful) service |
|
Experimental |
| 154 |
Agurato/goceptron
Multi-Layer Perceptron library in Golang & example using the MNIST Image Dataset |
|
Experimental |
| 155 |
nytopop/gohtm
An implementation of the HTM machine learning algorithm. |
|
Experimental |
| 156 |
HugoSmits86/gosee
Toy neural network for image recognizing from scratch in less than 200 lines of code. |
|
Experimental |
| 157 |
gerardabello/weight
Neural network library |
|
Experimental |
| 158 |
mraufc/neural
Simple Neural Network implementation in Go |
|
Experimental |
| 159 |
pointlander/prism
an unsupervised clustering and nearest neighbor search algorithm |
|
Experimental |
| 160 |
elaheh-dastan/newborn
A library for ML algorithms |
|
Experimental |
| 161 |
acatovic/gonet
Gonet implements a simple fully-connected neural network. It uses a small... |
|
Experimental |
| 162 |
NanoNets/nanonets-go
Code samples in golang for nanonets API |
|
Experimental |
| 163 |
dmarkham/f1
Computes F1 Scores |
|
Experimental |
| 164 |
wlattner/rf
Random Forest |
|
Experimental |
| 165 |
farrelmahaztra/micrograd-go
Implementation of Andrej Karpathy's micrograd in Go |
|
Experimental |
| 166 |
montanaflynn/simple-go-perceptron
A simple perceptron in Golang |
|
Experimental |
| 167 |
DarkStarStrix/NexaToolKit
All in one Toolkit for ML |
|
Experimental |
| 168 |
biraj21/neural-networks-from-scratch
Neural Networks from scratch in Go. |
|
Experimental |
| 169 |
christian-nickerson/fiber-endpoints
A test project for experimenting with a GoLang-based machine learning model... |
|
Experimental |
| 170 |
wbrc/neuralnet
Create simple neural networks in Go |
|
Experimental |
| 171 |
tsawler/gometal
A Go module designed to leverage the power of Apple's GPUs for machines... |
|
Experimental |
| 172 |
markdouthwaite/lingo
A package for quickly deploying Scikit-Learn Linear Models in Go. |
|
Experimental |
| 173 |
tsurubee/tscluster
time-series clustering implemented in Go |
|
Experimental |
| 174 |
dereklstinson/nccl
golang wrapper for nccl |
|
Experimental |
| 175 |
lon9/caffe2go
Evaluate caffemodel in Go |
|
Experimental |
| 176 |
RexG/MachineLearningCLI
This is a simple Machine Learning CLI/command line tool, which you can use... |
|
Experimental |
| 177 |
pcolladosoto/mlp-go
A MLP implemented in Go |
|
Experimental |
| 178 |
austinmhorn/golang-slnn
Single Layer Neural Network written in Go |
|
Experimental |
| 179 |
thadUra/Go-ML
Machine learning packages in Go tested with different environments and datasets |
|
Experimental |
| 180 |
kamil5b/GoNeuralNetwork
Neural Network using pure Go |
|
Experimental |
| 181 |
typio/gonet
Primitive ML framework in Go, inspired by Daniel Shiffman |
|
Experimental |
| 182 |
I159/go_deep
Neural network framework on pure Go |
|
Experimental |
| 183 |
pointlander/inception
Compressible neural networks with faster convergence |
|
Experimental |
| 184 |
infergo-ml/infergo-studies
Mirror of bitbucket infergo-studies repository |
|
Experimental |
| 185 |
joeychilson/infergo
A lightweight, easy-to-use library for running machine learning models in Go. |
|
Experimental |
| 186 |
rom1mouret/ml-essentials
dataframe library for machine learning |
|
Experimental |
| 187 |
MagnusChase03/GoML
A simple and fast feed forward neural network library. |
|
Experimental |
| 188 |
kjahan/goclustering
Clustering |
|
Experimental |
| 189 |
jacquayj/irods-ugm-2017
Resources for iRODS UGM 2017 talk/demo |
|
Experimental |
| 190 |
JosephJindrich/Deep-Neural-Network-Trainer
This is open source software that you can generate a trained Deep Neural Network. |
|
Experimental |
| 191 |
gemmyboy/nlp
Natural Language Process |
|
Experimental |
| 192 |
nixhantb/neuroflash
A library for Data manipulation , Data Engineering and machine learning... |
|
Experimental |
| 193 |
hoenirvili/knn
Knn algorithm proof of concept |
|
Experimental |
| 194 |
pointlander/onward
Unsupervised feed forward layer learning with a single pass. |
|
Experimental |
| 195 |
asggo/ml
Go libraries for machine learning |
|
Experimental |
| 196 |
po3rin/gonnp
:chart_with_downwards_trend:Deep learning from scratch using Go. Specializes... |
|
Experimental |
| 197 |
copilotoParaterminarlachamba/go-task-processing-engine
🚀 Master concurrent task processing in Go with TaskForge, featuring worker... |
|
Experimental |
| 198 |
SerialLain3170/senju
Implementations of various tasks related to deep learning and GUI application |
|
Experimental |
| 199 |
djeday123/gotorch
PyTorch-inspired deep learning framework in Go with CUDA GPU backend |
|
Experimental |
| 200 |
tma15/gonline
A Go implementation of online machine learning algorithms |
|
Experimental |
| 201 |
olimci/autograd
autograd machine learning library written from scratch in go |
|
Experimental |
| 202 |
sschrs/GoGDRegressor
Gradient Descent Regressor for Go Programming Language |
|
Experimental |
| 203 |
hiro4bbh/confeito
Package confeito provides fast ensemble tree inference |
|
Experimental |
| 204 |
volker48/touchstone
Machine Learning Metrics |
|
Experimental |
| 205 |
opennetsys/c3-sdk-go-example-image-recognition
An example container that performs image recognition written in Go |
|
Experimental |
| 206 |
godpeny/pages
Godpeny Github Page :) |
|
Experimental |
| 207 |
DverkaSK/arch-prediction-backend
ДПП ИИ и МО ЦК 2024/2025 |
|
Experimental |
| 208 |
owengombas/alex-go
A Go implementation of Microsoft's ALEX learned index |
|
Experimental |
| 209 |
Yamashou/elm
This is an implementation of the Extreme Learning Machine in Golang |
|
Experimental |
| 210 |
phoebetronic/getlin
A Golang implementation of the Tsetlin Machine. |
|
Experimental |
| 211 |
sameer/ml
Machine learning algorithm implementations |
|
Experimental |
| 212 |
c-bata/go-neural-network
WIP: Neural Network Implementation for Golang. |
|
Experimental |
| 213 |
pointlander/orthogonal
Neural network orthogonality regularization |
|
Experimental |
| 214 |
pointlander/ic
Infinite Context |
|
Experimental |
| 215 |
FriedShrimpBBQ/tinymlkit
Tiny ML Toolkit for Golang that compiles to WebAssembly |
|
Experimental |
| 216 |
marti700/mirai
Library focused in predictive Machine Learning algorithms for the Go... |
|
Experimental |
| 217 |
pointlander/r2n2
Random Recurrent Neural Network |
|
Experimental |
| 218 |
mervin0502/algset
some algorithms for the machine learning... |
|
Experimental |
| 219 |
troublete/go-qndnn
quick 'n' dirty neural network (for practical use) |
|
Experimental |
| 220 |
andrijadukic/feedforward
A multilayer feedforward neural network implementation |
|
Experimental |
| 221 |
lovesaroha/lnn
This is a generalized neural network package with clean and transparent API... |
|
Experimental |
| 222 |
msmcs-robotics/ml_console
Framework For Managing Distributed Nueral Networks |
|
Experimental |
| 223 |
extsalt/everest
[WIP] A Go based Deep Learning library |
|
Experimental |
| 224 |
minami14/tengor
Neural Network in pure Go. |
|
Experimental |
| 225 |
idaifish/preprocessing
Data preprocessing library for machine learning |
|
Experimental |
| 226 |
p-saucedo/GoFlwrClient
Golang Flwr Client implementation |
|
Experimental |
| 227 |
pointlander/neural_rank
non-linear page rank |
|
Experimental |
| 228 |
interzoid/fullnamematchscore-go
Generates a match score of two person names from 0-100, where 100 is the... |
|
Experimental |
| 229 |
pointlander/aj
auto-encoding adjacency matrix causality model with page rank |
|
Experimental |
| 230 |
calebwin/perceive
simple perceptron-based binary classification |
|
Experimental |
| 231 |
mitakeck/go-h5
h5 reader / writer |
|
Experimental |
| 232 |
ehardi19/tetangga-terdekat
K-Nearest Neighbor algorithm implemented in Go |
|
Experimental |
| 233 |
xuender/kstats
Golang statistics library package that supports v1.18+. |
|
Experimental |
| 234 |
MikaelVallenet/go-ml
I will try to do some ML in go for fun |
|
Experimental |
| 235 |
dereklstinson/leeds2json
Functions that reference a json file created from leeds |
|
Experimental |
| 236 |
pointlander/illuminatus
Probabilistic Self Attention with PageRank |
|
Experimental |
| 237 |
lnashier/gonet
Neural Networks |
|
Experimental |
| 238 |
gbaeke/resnet-score
Resnet50v2 scoring in Go |
|
Experimental |
| 239 |
pointlander/dfa
Direct Feedback Alignment |
|
Experimental |
| 240 |
rodrigosemicolon/goml
Repository inspired by python's scikit-learn implemented in golang to... |
|
Experimental |
| 241 |
meijun/maxspn
MAX SPN |
|
Experimental |
| 242 |
haydenhigg/percy
Quick, straightforward, and easy-to-use Go implementations of the Perceptron... |
|
Experimental |
| 243 |
pointlander/everett
XOR neural network with Everett activation function |
|
Experimental |
| 244 |
recogni/sorten
A helper utility to transform data representations for deep learning input |
|
Experimental |
| 245 |
JulioGuillermo/godeep
A deep learning library for golang |
|
Experimental |
| 246 |
pointlander/mae
Mixture of AutoEncoders |
|
Experimental |
| 247 |
drew-worden/nn.go
A simple deep learning library written in Go. |
|
Experimental |
| 248 |
bschieche/gomnist
Neural network implementation for the MNIST data set, written in Go... |
|
Experimental |
| 249 |
WillKirkmanM/ml
Machine Learning Framework with a Multi-Dimensional Array, Network Layers,... |
|
Experimental |
| 250 |
vseledkin/goartm
Golang interface to BigARTM fast topic modeling platform |
|
Experimental |
| 251 |
JulioGuillermo/neuralnetwork
This is a simple neural network library inspired by TensorFlow. It hasn't... |
|
Experimental |
| 252 |
anaktas/bp7
A machine learning library written in Go, based on the backpropagation... |
|
Experimental |
| 253 |
dc-dc-dc/oracle
All-in-one ml model exploration toolkit |
|
Experimental |
| 254 |
gokadin/ml-framework
Machine learning framework for training and running neural networks |
|
Experimental |
| 255 |
barnex/go-machine-learning
Feed forward neural network from scratch, in Go |
|
Experimental |
| 256 |
dnvrc/telepathy
Deep learning securities, commodities and futures framework. |
|
Experimental |