NumPy-Based Neural Networks ML Frameworks

Educational implementations of neural networks built from scratch using NumPy, featuring manual backpropagation and automatic differentiation. Does NOT include production frameworks (TensorFlow, PyTorch), pre-built libraries, or high-level wrappers around existing frameworks.

There are 160 numpy-based neural networks frameworks tracked. 4 score above 50 (established tier). The highest-rated is digantamisra98/Mish at 63/100 with 1,303 stars. 1 of the top 10 are actively maintained.

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#	Framework	Score	Tier	Stars	Language
1	digantamisra98/Mish Official Repository for "Mish: A Self Regularized Non-Monotonic Neural...	63	Established	1,303	Jupyter Notebook
2	Sentdex/nnfs_book Sample code from the Neural Networks from Scratch book.	51	Established	370	Python
3	itdxer/neupy NeuPy is a Tensorflow based python library for prototyping and building...	51	Established	734	Python
4	vzhou842/cnn-from-scratch A Convolutional Neural Network implemented from scratch (using only numpy) in Python.	50	Established	360	Python
5	nicklashansen/rnn_lstm_from_scratch How to build RNNs and LSTMs from scratch with NumPy.	49	Emerging	280	Jupyter Notebook
6	Synthaze/EpyNN Educational python for Neural Networks.	48	Emerging	128	Python
7	ankonzoid/NN-scratch Coding up a Neural Network Classifier from Scratch	45	Emerging	81	Python
8	marcpinet/neuralnetlib 🧠 A flexible machine & deep learning framework built from scratch using only NumPy	45	Emerging	6	Python
9	helblazer811/ManimML ManimML is a project focused on providing animations and visualizations of...	44	Emerging	3,351	Python
10	uber/neuropod A uniform interface to run deep learning models from multiple frameworks	43	Emerging	940	C++
11	Pabloo22/dlfs Implementation from scratch (using numpy arrays) of a framework based on...	43	Emerging	5	Python
12	JasonFengGit/RNN-Language-Classifier A Language Classifier powered by Recurrent Neural Network implemented in...	42	Emerging	57	Python
13	manassharma07/crysx_nn A simplistic and efficient pure-python neural network library from Phys Whiz.	42	Emerging	23	Python
14	lionelmessi6410/Neural-Networks-from-Scratch In this tutorial, you will learn the fundamentals of how you can build...	41	Emerging	166	Jupyter Notebook
15	mctrinh/neural-networks-from-scratch Neural Networks from Scratch in Python crafted for utilization as teaching...	39	Emerging	61	Jupyter Notebook
16	dorajam/Convolutional-Network A convolutional neural network from scratch	39	Emerging	103	Python
17	amassivek/signalpropagation Forward Pass Learning and Inference Library, for neural networks and general...	38	Emerging	57	Python
18	AmeyaJagtap/Adaptive_Activation_Functions We proposed the simple adaptive activation functions deep neural networks....	37	Emerging	13	—
19	mathspp/nnfwp Neural Networks Fundamentals with Python – implementing neural networks from scratch	37	Emerging	18	Python
20	process-intelligence-research/ReLU_ANN_MILP With this package, you can generate mixed-integer linear programming (MIP)...	37	Emerging	64	Python
21	pmocz/artificialneuralnetwork-python Artificial Neural Network for Image Classification	37	Emerging	13	Python
22	mike-gimelfarb/cascade-correlation-neural-networks A general framework for cascade correlation architectures in Python with...	36	Emerging	13	Python
23	AaronSpieler/elmneuron Code related to the ELM neuron.	36	Emerging	13	Jupyter Notebook
24	poopingface/sigmoidcolon :poop: Sigmoid Colon: The biologically inspired activation function.	36	Emerging	25	Python
25	Joaomlg/neural-network-from-scratch CNN implemented from scratch using Python and Numpy	36	Emerging	14	Python
26	olivia-ai/the-math-behind-a-neural-network Mathematics paper recapitulating the calculus behind a neural network and...	36	Emerging	132	TeX
27	Aryia-Behroziuan/neurons An ANN is a model based on a collection of connected units or nodes called...	36	Emerging	79	—
28	pouyaardehkhani/ActTensor ActTensor: Activation Functions for TensorFlow....	35	Emerging	27	Python
29	JohnMachado11/Neural-Networks-from-Scratch-in-Python Building neural networks from scratch only with Python and NumPy. This...	35	Emerging	48	Python
30	AkiRusProd/numpy-nn-model Сustom torch style machine learning framework with automatic differentiation...	35	Emerging	81	Python
31	AnhQuoc533/neural-network A Neural Network framework for building and deploying Multi-layer Perceptron models.	35	Emerging	—	Python
32	williamg/neuralnet A Python utility for using feed-forward artificial neural networks.	34	Emerging	10	Python
33	molcik/python-neuron Neuron class provides LNU, QNU, RBF, MLP, MLP-ELM neurons	34	Emerging	41	Python
34	AFAgarap/dl-relu Deep Learning using Rectified Linear Units (ReLU)	33	Emerging	23	Jupyter Notebook
35	mytechnotalent/HNN A step-by-step walkthrough of the inner workings of a simple neural network....	33	Emerging	29	Jupyter Notebook
36	AyushExel/Neo Deep learning library in python from scratch	33	Emerging	45	Python
37	IgnacioPardo/SNN Simple Neural Network - Inspirado en...	32	Emerging	3	Jupyter Notebook
38	casinca/ffn-from-scratch Feed Forward Neural Network (FFN) from Scratch. In pure Python and NumPy....	31	Emerging	1	Jupyter Notebook
39	mkashirin/ideeals Inside Deep Learning Algorithms with NumPy (CuPy coming hot).	30	Emerging	1	Python
40	atursun/Neural-Network Artificial Neural Network from scratch	30	Emerging	2	Python
41	howion/activation-functions Javascript implementation of some activation functions.	30	Emerging	13	JavaScript
42	AaltoML/PeriodicBNN Code for 'Periodic Activation Functions Induce Stationarity' (NeurIPS 2021)	30	Emerging	19	Jupyter Notebook
43	NisaarAgharia/Neural-Networks-From-Scratch Neural Networks from scratch	29	Experimental	1	Jupyter Notebook
44	JPM2002/manim-neural-network Manim Library for Representing Neural Networks	29	Experimental	6	Python
45	manncodes/xeno Scalable deep learning library built from scratch. Purely based on NumPy.	29	Experimental	7	Python
46	reshalfahsi/neuralnetwork Implementation of Artificial Neural Network Algorithm	29	Experimental	1	Jupyter Notebook
47	gokadin/ai-backpropagation The backpropagation algorithm explained and demonstrated.	28	Experimental	23	Go
48	t9nzin/mnist-from-scratch a feedforward neural network from scratch	28	Experimental	10	Python
49	alsaniie/Understanding-Activation-functions-in-Neural-Networks Activation functions are functions used in a neural network to compute the...	27	Experimental	20	—
50	MoinDalvs/Neural_Networks_From_Scratch Neural_Networks_From_Scratch	27	Experimental	7	Jupyter Notebook
51	Pchambet/Deep-Learning-from-Scratch Exploring and learning Deep Learning step by step.	27	Experimental	2	Jupyter Notebook
52	pranftw/neowise Deep Learning library built from scratch with Python and NumPy	27	Experimental	14	Python
53	BruinGrowly/LJPW-Neural-Networks Consciousness-based neural networks with self-evolution and meta-learning	27	Experimental	5	Python
54	mohamedkhayat/DIYNeuralNet A lightweight deep learning framework implemented from scratch using...	26	Experimental	6	Jupyter Notebook
55	samrere/pytortto deep learning from scratch. uses numpy/cupy, trains in GPU, follows pytorch API	26	Experimental	21	Python
56	abhinandan2540/ANN building artificial neuron networks from scratch	26	Experimental	3	Jupyter Notebook
57	sebastianbreguel/Basic_NeuronalNetwork A Neuronal Network builded with only fors, simple functions and lists	26	Experimental	6	Jupyter Notebook
58	nis-research/nn-frequency-shortcuts Frequency Shortcuts in Neural Networks	26	Experimental	21	Python
59	duongnphong/Conv2D-NumPy 2D Convolution from NumPy	25	Experimental	6	Python
60	milord-x/Qnumber Educational desktop application for demonstrating neural network training...	25	Experimental	1	Python
61	dirdr/neural_network_from_scratch "From scratch" deep neural network library	25	Experimental	3	TeX
62	pablo-reyes8/scratch-conv-net-classification A repository that implements a complete CNN “from scratch” to classify plant...	24	Experimental	3	Python
63	akinetic/relu-plus-plus ReLU++: A modified ReLU activation function with enhanced performance for...	24	Experimental	2	—
64	darelleq/NumPy_ML A Pure NumPy Based Machine Learning Library built from Scratch	23	Experimental	1	Jupyter Notebook
65	SumitxThokar/Neural-Networks Neural Networks Programs from Zero.	23	Experimental	3	Jupyter Notebook
66	mahanzavari/Neuromah Here I will be coding a simple neural network framework from scratch	23	Experimental	14	Python
67	Niki110607/CNN-from-scratch-numpy- This CNN model is coded in python while only using the numpy library. It...	22	Experimental	4	Python
68	SavioCodes/rede-neural-do-zero Neural network from scratch with deterministic evaluation and reproducible logs.	22	Experimental	—	Python
69	Alireza2317/numpy_neural_network A raw implementation of a Neural Network engine in Python + NumPy....	22	Experimental	1	Python
70	henrysrtaylor/DeepNum A modular Deep Learning framework built from scratch using NumPy. Implements...	22	Experimental	—	Python
71	byoung77/Neural-Net-Implementation From-scratch neural network implementation in NumPy supporting regression,...	22	Experimental	—	Python
72	MAYANK12-WQ/backprop-explained Visual, mathematical guide to backpropagation — chain rule, gradient flow,...	21	Experimental	—	—
73	julianprieto21/neural-network Neural Networks from scratch with Python	21	Experimental	—	Jupyter Notebook
74	Phazertron/Backpropagation-analisys A from-scratch implementation of feedforward neural networks using NumPy....	21	Experimental	—	Python
75	phoneliper/neural-network-tutorial A tutorial on building neural networks from scratch using Python.	21	Experimental	—	—
76	SuperSecureHuman/Neural-Networks-From-Scratch This repo goes on trying to explain and make a neural network from scratch,...	21	Experimental	1	Jupyter Notebook
77	VishalParmar07/Learning_How_Machine_Learns-MLP A NumPy-only Multilayer Perceptron (MLP) built from first principles to...	21	Experimental	—	Jupyter Notebook
78	Johnpaul10j/Artificial-neural-networks-Forward-propagation We built a neural network from scratch and code how it performs predictions...	21	Experimental	—	Jupyter Notebook
79	matlab-deep-learning/neuron-coverage-for-deep-learning Compute the neuron coverage of a deep learning network in MATLAB.	21	Experimental	10	MATLAB
80	thomastschinkel/ann_from_scratch A minimal Feedforward Neural Network built from scratch in Python/NumPy for...	20	Experimental	1	Jupyter Notebook
81	SawyerAlston/MNIST-NN-Pure-Math A "from-scratch" 2-layer neural network for MNIST classification built in...	20	Experimental	3	Python
82	Anonymous390/NNFS-MNIST-with-Convolution A convolutional neural network (CNN) built from scratch using only NumPy to...	20	Experimental	4	Jupyter Notebook
83	MalayAgr/DeepNeuralNetworksFromScratch Different kinds of deep neural networks (DNNs) implemented from scratch...	20	Experimental	8	Python
84	Wason1797/Nn-Learn-Lib A simple Neural Network library made with the intent to learn about the...	20	Experimental	8	Python
85	Thraetaona/Innervate A simple and free-from-overcomplications implementation of artificial neural...	19	Experimental	3	Python
86	Doberman12/CNNfromScratch Convolutional Neural Networ implemented using CuPy library	19	Experimental	2	Jupyter Notebook
87	marmiskarian/Convolutions-With-NumPy An implementation of the 1D, 2D, 3D convolutions using simple NumPy operations.	19	Experimental	3	Jupyter Notebook
88	hug-0/gnarl Gnarl - An easy to use Deep Learning framework for Python	19	Experimental	3	Jupyter Notebook
89	dcarpintero/nn-image-classifier Python from-scratch implementation of a Neural Network Classifier. Dive into...	19	Experimental	4	Jupyter Notebook
90	ThomasH88/home_made_NN End-to-end customizable Neural Network built with Vanilla Python and Numpy	18	Experimental	2	Jupyter Notebook
91	NoahFeldt/ANN-From-Scratch Implementation of a multi layer perceptron artificial neural network from...	18	Experimental	2	Python
92	mytechnotalent/RENN Inspired by Andrej Karpathy’s micrograd, this lecture builds a neural...	18	Experimental	2	Jupyter Notebook
93	Dr-CharleyChang/neural-networks-and-deep-learning-matlab Pure MATLAB implementation of Neural Networks (SGD, Backpropagation) from...	18	Experimental	1	MATLAB
94	ceenaa/MLP Multi layer perceptron implementation from scratch using only numpy	18	Experimental	2	Jupyter Notebook
95	steveive8/Nirvana-D.L-Core Nirvana D.L is the pure, handmade deep learning library made of python with...	17	Experimental	1	—
96	SamedyHUNX/neural_networks_from_scratch Repo for How to Build Neural Networks from Scratch	17	Experimental	—	Jupyter Notebook
97	umarwaseeem/Activation-Func-Visualizer Visualize Neural Network activation functions with a python manim library script	17	Experimental	1	Python
98	dakofler/python-nn Framework built from scratch to explore neural networks and backpropagation	17	Experimental	1	Python
99	Arif-miad/Neral-Network-concepts-and-architectures Neural Network Architecture refers to the structure and organization of a...	17	Experimental	1	—
100	LiuxhRobotAI/A-simplest-neural-network A project that relies only on numpy to learn machine learning. This is one...	17	Experimental	1	Python
101	jeremylea/DLextras Matlab Deep Learning custom layers and other helpers	17	Experimental	1	MATLAB
102	apekshyasharma/NeuralNetwork-From-Scratch Neural Network from Scratch using NumPy	17	Experimental	—	Jupyter Notebook
103	steveive8/Nirvana-CNN-Core Nirvana CNN, the pure handmade deep learning library for Convolutional...	17	Experimental	1	—
104	rishabhkarwal/how-to-build-a-neural-network A workshop that teaches you how to build your own neural network from scratch	17	Experimental	6	Jupyter Notebook
105	King-Oni/SAMPU Sum Activations Multi Perceptron Unit	17	Experimental	1	Python
106	oliverharboe/NeuralNetwork_From_Scratch NeuralNetwork build from scrath using python and numpy	17	Experimental	—	Python
107	samas69420/basedNN neural networks without libraries	15	Experimental	12	Python
108	3laaSalama/numpy-neural-network 🤖 Build and train neural networks from scratch using only NumPy, featuring...	14	Experimental	—	HTML
109	fella0x/ffnn-mnist MNIST Digit Classifier - Neural Network Implemented From Scratch in NumPy	14	Experimental	—	Python
110	aaronp64/neural-network-library A small neural network library built in python for learning	14	Experimental	—	Python
111	MusaChowdhury/Approximating-Continuous-Function-With-ReLU ReLU's Function Approximation	14	Experimental	3	Jupyter Notebook
112	fella0x/CNN-MNIST-CIFAR10 CNN MNIST / CIFAR10 Classifier - CNN Implemented From Scratch in CuPy/NumPy	14	Experimental	—	Jupyter Notebook
113	Restroulner/Neural-Network-Zoo Implementations of various neural network architectures from scratch using...	14	Experimental	—	Python
114	kacpyd/binary-addition-neural-network A step-by-step PyTorch project exploring how a neural network can learn...	14	Experimental	—	Python
115	AboNady/Neural_Network_From_Scratch This is the code of a Neural Network built from scratch without any...	14	Experimental	—	Python
116	felipeadeildo/neural-network Neural Network written from Scratch without libraries like tensorflow (documented)	14	Experimental	8	Python
117	RassX-o7/RawNeuralCanvas A zero-dependency MLP Network and backpropagation engine built entirely in...	14	Experimental	—	Python
118	s0urceduty/Sourced_Neuron Prototype Python lib containing 50 new functions for computational neuroscience.	13	Experimental	—	—
119	DuncanMainya/Neural-Network-From-Scratch From-scratch neural networks for MNIST digit classification. Binary and...	13	Experimental	—	Jupyter Notebook
120	Aymen016/Activation-Functions-In-Perceptrons This repository delves into the role of activation functions in...	13	Experimental	—	Jupyter Notebook
121	Kyaki101/Neural-Net-from-scratch Neural network made from scratch only using torch tensors for gpu acceleration	13	Experimental	—	Jupyter Notebook
122	huzaifa12466/nn-from-scratch A simple feedforward neural network implemented from scratch using NumPy for...	13	Experimental	2	Jupyter Notebook
123	MainakVerse/Activation-Infopedia Learn about various types of activation functions with practical working and trials.	13	Experimental	14	Python
124	shimataro/ralu RaLU - A New Activation Function for Deep Neural Network	13	Experimental	—	—
125	HungPhamNoob/neural-network-from-scratch Minimal Neural Network implementation using pure NumPy for learning Deep...	13	Experimental	—	Jupyter Notebook
126	xe-4f14-5d3-6s2/73neuralnetwork Data training/prediction algorithm from scratch with Julia.	12	Experimental	1	Julia
127	aguunu/neural-network A simple neural network implementation.	11	Experimental	—	Python
128	Wsudo/LittleNeu A small library for working with artificial intelligence neural networks,...	11	Experimental	—	Python
129	isatyamks/neural_network Build, train, and test a neural network entirely from scratch	11	Experimental	3	Jupyter Notebook
130	MMHammad24/Activation-Functions-Compared- Comparative evaluation of 12 state-of-the-art activation functions, using...	11	Experimental	—	Mathematica
131	neural-tangjie/NTJ-DL-Activation_Functions_in_Neural_Network :octocat: This repository summarizes the basic concepts, types and usage...	11	Experimental	—	—
132	arda-guler/GeneralDenseNeuralNet Dense neural network with variable number of layers and sizes, state saving...	11	Experimental	—	Python
133	tanercelikkiran/2-layer-neural-network 2-Layer Neural Network Implementation with Jupyter	11	Experimental	—	Jupyter Notebook
134	pr5do/My-Simple-Neural-Network A simple neural network that I created, only using numpy and math, to...	11	Experimental	—	Jupyter Notebook
135	kelvinducray/neural-networks A collection of neural network implementations from scratch in PyTorch.	11	Experimental	—	Jupyter Notebook
136	ThomasH88/home_made_RNN A customizable LSTM in python	11	Experimental	—	Jupyter Notebook
137	archanadby05/Neural_Network_from_Scratch This repository features hands-on Jupyter Notebooks, covering everything...	11	Experimental	2	Jupyter Notebook
138	miguelvanegas-c/NeuralNetworks Neural networks and CNNs implemented from scratch. Covers backpropagation,...	11	Experimental	—	Jupyter Notebook
139	SaoodCS/Backpropagation-Algorithm This is a project I did as part of my Computer Science degree. It involves...	11	Experimental	—	Python
140	mohsine92/simple-neural-network-from-scratch Complete implementation of a neural network without an ML framework in order...	11	Experimental	—	Python
141	Mohamad-Kassas/Neural-Network Neural Network library for simulating and visualizing a functioning neural...	11	Experimental	—	Python
142	roybeey0/neural-network-scratch Pure NumPy neural network from scratch — XOR (100%) & MNIST (98.43%) \| No...	11	Experimental	—	Python
143	mohsenamjadi/Neural-Network--Feed-Forward-Back-Propagation---Fashion-mnist---from-scratch Implementation of Feed Forward & Back Propagation Neural Network on Fashion...	11	Experimental	3	HTML
144	azad-academy/MLBasics-ANN A Lesson and an interactive Tool for learning Artificial Neural Networks....	11	Experimental	3	Python
145	spenceypantsy1/mnist-neural-network-with-numpy A neural network built from scratch using NumPy to classify MNIST...	11	Experimental	4	Jupyter Notebook
146	williamardianto/neural-network-from-scratch This repo contains the explanation of how the neural network works and how it learn.	11	Experimental	—	Jupyter Notebook
147	fardeen0424/Izhikevich-Neuron-Model-Simulation Izhikevich Neuron Model Simulation ⚙️	11	Experimental	—	Jupyter Notebook
148	yung10gramms/NpANN A library for Neural Networks, only using Numpy.	11	Experimental	—	Jupyter Notebook
149	bvsam/nnfs Basic neural network built using Python and Numpy. Created to better...	11	Experimental	—	Python
150	Slins-23/neural-network Neural network framework implemented from "scratch" with Python and Numpy...	11	Experimental	—	Python
151	kirui93/From_Scratch_NN This repository has Python scripts that I used to create a pilot Neural...	11	Experimental	—	—
152	durjoydutta/NeuroLite A simple & lightweight neural network, built from scratch	11	Experimental	—	Jupyter Notebook
153	OriYarden/Binary-MultiClassificationNeuralNetworksFromScratchNumpyArraysOnlyPython Neural networks for binary and multiple classification from scratch (using...	10	Experimental	2	Jupyter Notebook
154	nabeelshan78/First-Principles-Deep-Learning From-scratch NumPy implementations of core deep learning architectures (DNN,...	10	Experimental	1	—
155	alxmart/Build_a_Neural_Network Exercise from IBM course via Coursera. Objectives: Build a Neural Network	10	Experimental	1	Jupyter Notebook
156	Nishant2018/RNN-From-Scratch Recurrent Neural Networks (RNNs) are a class of artificial neural networks...	10	Experimental	2	Jupyter Notebook
157	Striletchi-Vlad/CritMLP Critically-tuned NN builder	10	Experimental	2	Python
158	simsam8/inf265_project1 This project implements the backpropagation algorithm and compares it with...	10	Experimental	2	Jupyter Notebook
159	janmejay23/basic_neural_network it is simple 2 layer neural network using only numpy as dependency	10	Experimental	2	Jupyter Notebook
160	jucarata/Neuronal_Network_impl That's my implementation of a Neural Network from scratch, It's a simple...	10	Experimental	2	Jupyter Notebook

Comparisons in this category

cnn-from-scratch and Convolutional-Network (50 vs 39) nnfs_book and nnfwp (51 vs 37)