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how to optimize some algorithm in cuda.
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
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PaddlePaddle Developer Community
PaddlePaddle custom device implementaion. (『飞桨』自定义硬件接入实现)
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)
Deep Learning sample programs using PyTorch in C++
Webots project to show how to use Deep Reinforcement Learning with Webots in C++.
Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.
A PyTorch implementation of the architecture of Mask RCNN
DeepRL algorithms implementation easy for understanding and reading with Pytorch and Tensorflow 2(DQN, REINFORCE, VPG, A2C, TRPO, PPO, DDPG, TD3, SAC)
An open-access book on numpy vectorization techniques, Nicolas P. Rougier, 2017
Python 开源项目之「自学编程之路」,保姆级教程:AI实验室、宝藏视频、数据结构、学习指南、机器学习实战、深度学习实战、网络爬虫、大厂面经、程序人生、资源分享。
Code Replicability in Computer Graphics