Stars
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
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".
Fast and memory-efficient exact attention
End-to-End Object Detection with Transformers
RWKV is an RNN with transformer-level LLM performance. It can be directly trained like a GPT (parallelizable). So it's combining the best of RNN and transformer - great performance, fast inference,…
Official PyTorch Implementation of "Scalable Diffusion Models with Transformers"
Sequence modeling benchmarks and temporal convolutional networks
An efficient pure-PyTorch implementation of Kolmogorov-Arnold Network (KAN).
Websockify is a WebSocket to TCP proxy/bridge. This allows a browser to connect to any application/server/service.
OpenMMLab Pre-training Toolbox and Benchmark
[ICML 2024] Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model
Unofficial PyTorch implementation of Masked Autoencoders Are Scalable Vision Learners
A native PyTorch Library for large model training
VMamba: Visual State Space Models，code is based on mamba
MambaOut: Do We Really Need Mamba for Vision?
ssh rdp vnc telnet sftp bastion/jump web putty xshell terminal jumpserver audit realtime monitor rz/sz 堡垒机 云桌面 linux devops sftp websocket file management rz/sz otp 自动化运维 审计 录像 文件管理 sftp上传 实时监控 录像回…
Implementation of Generating Diverse High-Fidelity Images with VQ-VAE-2 in PyTorch
Efficient implementations of state-of-the-art linear attention models in Pytorch and Triton