A distributed task scheduling framework.（分布式任务调度平台XXL-JOB）

Making large AI models cheaper, faster and more accessible

This project is deprecated. Check my new project ChatHub:

A browser extension that enhance search engines with ChatGPT

Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything

LLM inference in C/C++

Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models

Deep Learning Book Chinese Translation

Open source platform for the machine learning lifecycle

⚡⚡⚡NVIDIA-阿里2021 TRT比赛 `二等奖` 代码提交 团队：美迪康 AI Lab 🚀🚀🚀

The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…

A lightweight package for converting your labelme annotations into COCO object detection format.

This repo is implemented based on detectron2 and centernet

Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.

Enforcing temporal consistency in real-time per-frame semantic video segmentation

How to Make a Computer Operating System in C++

Real-Time and Accurate Full-Body Multi-Person Pose Estimation&Tracking System

Prune DNN using Alternating Direction Method of Multipliers (ADMM)

Code release for "Adversarial Robustness vs Model Compression, or Both?"

A Pytorch implementation of Neural Network Compression (pruning, deep compression, channel pruning)

Google, Naver multiprocess image web crawler (Selenium)

convert torch module to tensorrt network or tvm function

Code for 'PolarMask: Single Shot Instance Segmentation with Polar Representation'

Social LSTM implementation in PyTorch

Code for model proposed in: Nachiket Deo and Mohan M. Trivedi,"Convolutional Social Pooling for Vehicle Trajectory Prediction." CVPRW, 2018

Code for "Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks", Gupta et al, CVPR 2018

Machine learning, in numpy

Automatic architecture search and hyperparameter optimization for PyTorch

Fast, modular reference implementation and easy training of Semantic Segmentation algorithms in PyTorch.