The Open Motion Planning Library (OMPL)

The author's implementation of the OPCD (OkayPlan-ColorDynamic) navigation system.

具身智能入门指南 Embodied-AI-Guide

MetaPruning: Meta Learning for Automatic Neural Network Channel Pruning. In ICCV 2019.

Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://intellabs.github.io/distiller

Quantization library for PyTorch. Support low-precision and mixed-precision quantization, with hardware implementation through TVM.

The most advanced AI retrieval system. Agentic Retrieval-Augmented Generation (RAG) with a RESTful API.

A simple network sniffer (packet capture and analysis) tool developed with PyQt5.

大模型/LLM推理和部署理论与实践

3D-RCNet: A 3D Relational Convolutional Network for Hyperspectral Image Classification

[CVPR 2019, Oral] HAQ: Hardware-Aware Automated Quantization with Mixed Precision

[ECCV 2018] AMC: AutoML for Model Compression and Acceleration on Mobile Devices

Simplify your onnx model

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

使用C++、MFC、Winpcap实现的抓包工具

互联网首份程序员考公指南，由3位已经进入体制内的前大厂程序员联合献上。

Quantization of Convolutional Neural networks.

A flexible framework powered by ComfyUI for generating personalized Nobel Prize images.

This implements training of popular model architectures, such as AlexNet, ResNet and VGG on the ImageNet dataset(Now we supported alexnet, vgg, resnet, squeezenet, densenet)

模型压缩的小白入门教程

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

研究生自救指南

AISystem 主要是指AI系统，包括AI芯片、AI编译器、AI推理和训练框架等AI全栈底层技术

《AI嵌入式系统——算法优化与实现》软件工具、例程及教学辅助材料

A game theoretic approach to explain the output of any machine learning model.

NL2SQL competition dataset

天涯 kkndme 神贴聊房价

Cross-platform chatbot framework made with love

Motion Planning Networks