Tensors and Dynamic neural networks in Python with strong GPU acceleration

CoreNet: A library for training deep neural networks

LLM training in simple, raw C/CUDA

Fast CUDA matrix multiplication from scratch

State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

package google mediapipe hand and holistic tracking into a dynamic link library

Convolutional Neural Network with CUDA (MNIST 99.23%)

An easy to use PyTorch to TensorRT converter

《深入浅出 PyTorch——从模型到源码》源代码和勘误（见Issues）

深蓝三维点云处理课程

A faster implementation of PointNet++ based on PyTorch.

A generic interface for the environmental perception of automated driving functions in virtual scenarios.

2 and 3-dimensional rigid body physics engine for Rust.

这里用来保存地图相关的数据格式文档，包括OpenDrive等格式。

Note for Apollo 3.0 perception, prediction and planning modules

《Pytorch模型训练实用教程》中配套代码