| tensorflow/tensorflow |
180,196 |
|
327 |
78 |
about 2 years ago |
46 |
October 23, 2019 |
2,049 |
apache-2.0 |
C++ |
| An Open Source Machine Learning Framework for Everyone |
| pytorch/pytorch |
74,794 |
|
3,341 |
8,272 |
about 2 years ago |
39 |
November 15, 2023 |
13,261 |
other |
Python |
| Tensors and Dynamic neural networks in Python with strong GPU acceleration |
| Tencent/ncnn |
18,693 |
|
0 |
1 |
about 2 years ago |
26 |
October 27, 2023 |
1,010 |
other |
C++ |
| ncnn is a high-performance neural network inference framework optimized for the mobile platform |
| zergtant/pytorch-handbook |
18,594 |
|
0 |
0 |
over 2 years ago |
0 |
|
52 |
|
Jupyter Notebook |
| pytorch handbook是一本开源的书籍,目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门,其中包含的Pytorch教程全部通过测试保证可以成功运行 |
| unifyai/ivy |
13,904 |
|
2 |
7 |
about 2 years ago |
103 |
October 11, 2023 |
1,203 |
other |
Python |
| The Unified AI Framework |
| deeplearning4j/deeplearning4j |
13,290 |
|
175 |
119 |
over 2 years ago |
54 |
August 10, 2022 |
624 |
apache-2.0 |
Java |
| Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math code and a java based math library on top of the core c++ library. Also includes samediff: a pytorch/tensorflow like library for running deep learning using automatic differentiation. |
| microsoft/onnxruntime |
11,668 |
|
8 |
88 |
about 2 years ago |
39 |
November 20, 2023 |
2,222 |
mit |
C++ |
| ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator |
| chainer/chainer |
5,837 |
|
0 |
0 |
over 2 years ago |
17 |
January 21, 2022 |
12 |
mit |
Python |
| A flexible framework of neural networks for deep learning |
| transcranial/keras-js |
4,879 |
|
31 |
8 |
almost 4 years ago |
7 |
February 09, 2018 |
83 |
mit |
JavaScript |
| Run Keras models in the browser, with GPU support using WebGL |
| NVIDIA/DALI |
4,770 |
|
0 |
4 |
about 2 years ago |
19 |
December 06, 2023 |
209 |
apache-2.0 |
C++ |
| A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications. |