Deep Learning Frameworks
Core deep learning training and inference frameworks — PyTorch, TensorFlow, JAX, and similar stacks.
213 projects
See methodology for ranking rules; order uses public GitHub metrics within this scenario.
| Rank | Project | Stars | Forks | Updated | License |
|---|---|---|---|---|---|
| 1 |
tensorflow
An Open Source Machine Learning Framework for Everyone |
198.0K | 76.2K | 08/29/26 | Apache-2.0 |
| 2 |
pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration |
102.7K | 29.0K | 08/29/26 | Other |
| 3 |
keras
Deep Learning for humans |
64.3K | 19.8K | 08/28/26 | Apache-2.0 |
| 4 |
nanoGPT
The simplest, fastest repository for training/finetuning medium-sized GPTs. |
62.6K | 10.8K | 11/12/25 | MIT |
| 5 |
ray
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads. |
43.6K | 8.0K | 08/29/26 | Apache-2.0 |
| 6 |
DeepSpeed
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective. |
43.0K | 4.9K | 08/29/26 | Apache-2.0 |
| 7 |
ColossalAI
Making large AI models cheaper, faster and more accessible |
41.4K | 4.5K | 08/24/26 | Apache-2.0 |
| 8 |
spaCy
💫 Industrial-strength Natural Language Processing (NLP) in Python |
33.9K | 4.7K | 08/24/26 | MIT |
| 9 |
pytorch-lightning
Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes. |
31.3K | 3.8K | 08/25/26 | Apache-2.0 |
| 10 |
xgboost
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow |
28.7K | 8.9K | 08/27/26 | Apache-2.0 |
| 11 |
Paddle
PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice (『飞桨』核心框架,深度学习&机器学习高性能单机、分布式训练和跨平台部署) |
24.1K | 6.0K | 08/28/26 | Apache-2.0 |
| 12 |
fastai
The fastai deep learning library |
28.1K | 7.6K | 08/29/26 | Apache-2.0 |
| 13 |
pytorch_geometric
Graph Neural Network Library for PyTorch |
24.0K | 4.0K | 08/24/26 | MIT |
| 14 |
llm.c
LLM training in simple, raw C/CUDA |
30.9K | 3.7K | 06/26/25 | MIT |
| 15 |
caffe
Caffe: a fast open framework for deep learning. |
34.6K | 18.4K | 07/31/24 | Other |
| 16 |
onnx
Open standard for machine learning interoperability |
21.4K | 4.0K | 08/29/26 | Apache-2.0 |
| 17 |
peft
🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning. |
21.6K | 2.5K | 08/28/26 | Apache-2.0 |
| 18 |
recommenders
Best Practices on Recommendation Systems |
21.9K | 3.3K | 08/25/26 | MIT |
| 19 |
LightGBM
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks. |
18.7K | 4.1K | 08/29/26 | MIT |
| 20 |
tfjs
A WebGL accelerated JavaScript library for training and deploying ML models. |
19.1K | 2.0K | 06/23/26 | Apache-2.0 |