Deep Learning for humans

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

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

OpenMMLab Detection Toolbox and Benchmark

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

Use ChatGPT to summarize the arXiv papers. 全流程加速科研，利用chatgpt进行论文全文总结+专业翻译+润色+审稿+审稿回复

PyTorch implementations of Generative Adversarial Networks.

Machine Learning Engineering Open Book

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

Python Implementation of Reinforcement Learning: An Introduction

YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/

Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学

A Collection of Variational Autoencoders (VAE) in PyTorch.

Minimal PyTorch implementation of YOLOv3

Code release for ConvNeXt model

Python QR Code image generator

LPIPS metric. pip install lpips

Chatbot继续沿着LLM前进，近期更新小参数量SLM的和训练脚本，支持本地训练。新增ChatAgent,实现各种有实际场景价值的Agent实现。

A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX

My tensorflow implementation of "A neural conversational model", a Deep learning based chatbot

View model summaries in PyTorch!

Elegant PyTorch implementation of paper Model-Agnostic Meta-Learning (MAML)

Awesome Chatbot Projects,Corpus,Papers,Tutorials.Chinese Chatbot =>:

This is the official implementation of Multi-Agent PPO (MAPPO).

PoolFormer: MetaFormer Is Actually What You Need for Vision (CVPR 2022 Oral)

PyTorch Re-Implementation of "The Sparsely-Gated Mixture-of-Experts Layer" by Noam Shazeer et al. https://arxiv.org/abs/1701.06538

Corruption and Perturbation Robustness (ICLR 2019)

A pytorch adversarial library for attack and defense methods on images and graphs

Scaling Up Your Kernels to 31x31: Revisiting Large Kernel Design in CNNs (CVPR 2022)

Official Pytorch Implementation of: "Asymmetric Loss For Multi-Label Classification"(ICCV, 2021) paper