Fortran ML Frameworks

Deep learning libraries and tools written in or interfacing with Fortran, particularly for scientific computing and HPC applications. Does NOT include general ML frameworks in other languages, linear algebra libraries without ML capabilities, or Fortran tools for non-ML scientific computing.

There are 47 fortran ml frameworks tracked. 9 score above 50 (established tier). The highest-rated is mlverse/torch at 64/100 with 563 stars. 1 of the top 10 are actively maintained.

Get all 47 projects as JSON

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#	Framework	Score	Tier	Stars	Language
1	mlverse/torch R Interface to Torch	64	Established	563	C++
2	modern-fortran/neural-fortran A parallel framework for deep learning	60	Established	462	Fortran
3	Beliavsky/Fortran-code-on-GitHub Directory of Fortran codes on GitHub, arranged by topic	59	Established	374	—
4	Cambridge-ICCS/FTorch A library for directly calling PyTorch ML models from Fortran.	57	Established	185	Fortran
5	NVIDIA/TorchFort An Online Deep Learning Interface for HPC programs on NVIDIA GPUs	56	Established	184	C++
6	BerkeleyLab/fiats A deep learning library for use in high-performance computing applications...	55	Established	70	Fortran
7	Oneflow-Inc/oneflow OneFlow is a deep learning framework designed to be user-friendly, scalable...	52	Established	9,391	C++
8	ryuz/BinaryBrain Binary Neural Network Framework for FPGA(Differentiable LUT)	52	Established	172	C++
9	huawei-noah/bolt Bolt is a deep learning library with high performance and heterogeneous flexibility.	50	Established	957	C++
10	Adam-Vandervorst/PyBHV Boolean Hypervectors with various operators for experiments in...	49	Emerging	31	Python
11	scientific-computing/FKB A two-way deep learning bridge between Keras and Fortran	47	Emerging	187	Fortran
12	raymondyfei/lbfgsb-gpu An open source library for the GPU-implementation of L-BFGS-B algorithm	46	Emerging	145	C++
13	nabla-ml/nabla Nabla: High-Performance Scientific Computing	46	Emerging	326	Python
14	sebastian-mutz/fsml Fortran Statistics and Machine Learning Library	42	Emerging	24	Fortran
15	Cambridge-ICCS/fortran-tf-lib A library for directly calling TensorFlow / Keras ML models from Fortran.	41	Emerging	35	Fortran
16	andreped/GradientAccumulator :dart: Gradient Accumulation for TensorFlow 2	41	Emerging	53	Python
17	NaoMatch/FortLearner Machine Learning Algorithms in Fortran	41	Emerging	31	Fortran
18	alexeedm/pytorch-fortran Pytorch bindings for Fortran	40	Emerging	94	C++
19	google/network-opt A library for topological network optimization	39	Emerging	149	C++
20	nedtaylor/athena A Fortran-based neural network library for physics-based applications....	38	Emerging	31	Fortran
21	vanderhe/fortnet Fortnet is a Behler-Parrinello-Neural-Network implementation, written in...	38	Emerging	33	Fortran
22	atzberg/mlmod Machine learning package for data-driven modeling and simulation of particle...	37	Emerging	8	C++
23	codezonediitj/BNN Deep Learning Framework with a specialisation aimed for Binarized Neural Networks.	37	Emerging	11	C++
24	sinkingsugar/nimtorch PyTorch - Python + Nim	37	Emerging	470	Nim
25	mlverse/cuda.ml R interface for cuML	35	Emerging	37	R
26	flexi-framework/tffb The TensorFlow Fortran Binding (TFFB) library allows to load and evaluate...	35	Emerging	9	PureBasic
27	aleon1138/mars An implementation of Multivariate Adaptive Regression Splines	35	Emerging	6	C++
28	perazz/fortran-lapack Modern Fortran Linear Algebra library	33	Emerging	40	Fortran
29	InferBend/Bolt BOLT: Bendable Optimization and Learning Toolkit	33	Emerging	5	—
30	r-xla/pjrt R Interface to PJRT	29	Experimental	7	C++
31	arjo129/NueralNets Fortran Based Nueral Networks	28	Experimental	13	FORTRAN
32	kcxain/gradflow 😺GradFlow: A simple, scalable and efficient deep learning framework.	27	Experimental	2	Python
33	ajfurlong/fortran_dnn_from_tf Barebones method of implementing a pre-trained DNN from TensorFlow in a...	25	Experimental	4	Fortran
34	dliptak001/HypercubeRC Reservoir computer with hypercube-structured connectivity, translation...	23	Experimental	1	C++
35	nedtaylor/wandb-fortran Fortran interface for Weights & Biases to enable training metrics logging...	23	Experimental	1	Fortran
36	wignerc/torchada 🔗 Simplify GPU coding by using torchada to run your PyTorch CUDA code...	22	Experimental	—	Python
37	wavesgroup/pfml-iccs-talk Slides for "Pure Fortran Machine Learning" talk at the ICCS Journal Club	21	Experimental	1	JavaScript
38	Qile0317/einops R port of the einops library	20	Experimental	3	R
39	Bynaryman/OSFNTC Open-Source Framework for Numerically-Tailored Computations This project is...	20	Experimental	7	Fortran
40	timstr/scorch Like torch, but rather than seeing the light, you get burnt.	19	Experimental	3	C++
41	jnb666/nimxla Nim bindings for the XLA accelerated linear algebra library	19	Experimental	4	Nim
42	Tensor-Array/BinaryTensor A tensor that use only 1 bit per value and only using bitwise operators.	17	Experimental	1	C++
43	RWTH-HPC/Fortran-ML-Interface A modular interface embedding the AIxeleratorService and related approaches...	13	Experimental	3	Fortran
44	ivanZanardi/tf2 TensorFlow to Fortran	13	Experimental	—	C++
45	hsnx11/Fort Archive your outdated code with Fort, a simple tool for managing and...	13	Experimental	—	—
46	Oiubrab/byinheritance A probabilistic neural network developed as a first step towards a conscious mind	11	Experimental	—	Fortran
47	aymanrasheed7/NetOpt A hardware accelerated solution for topological network optimization...	11	Experimental	—	C++

Comparisons in this category

FTorch and TorchFort (57 vs 56) FTorch and pytorch-fortran (57 vs 40) TorchFort and pytorch-fortran (56 vs 40) FTorch and fortran-tf-lib (57 vs 41)