rivergold

rdl

rivergold.github.io

RiverGold's blog, recording my learning curve of computer vision and machine learning.

ncnn

ncnn is a high-performance neural network inference framework optimized for the mobile platform

rconfig

Python config

rutils

Utils for computer vision

12306

12306智能刷票，订票

detectron2

Detectron2 is FAIR's next-generation platform for object detection, segmentation and other visual recognition tasks.

FGVC

[ECCV 2020] Flow-edge Guided Video Completion

flask-fileserver

folly

An open-source C++ library developed and used at Facebook.

graphicsAI-3D-Editor

AI powered realtime graphics synthesis web application

hexo-theme-butterfly

🦋 A Hexo Theme: Butterfly

learn-MLIR

Learn MLIR

llvm-project

The LLVM Project is a collection of modular and reusable compiler and toolchain technologies. Note: the repository does not accept github pull requests at this moment. Please submit your patches at http://reviews.llvm.org.

mmcv

OpenMMLab Computer Vision Foundation

mmdetection

OpenMMLab Detection Toolbox and Benchmark

my-try

nanodet

⚡Super fast and lightweight anchor-free object detection model. 🔥Only 1.8mb and run 97FPS on cellphone🔥

NeuS

Code release for NeuS

pysot

SenseTime Research platform for single object tracking, implementing algorithms like SiamRPN and SiamMask.

pytorch-image-models

PyTorch image models, scripts, pretrained weights -- (SE)ResNet/ResNeXT, DPN, EfficientNet, MixNet, MobileNet-V3/V2, MNASNet, Single-Path NAS, FBNet, and more

stable-diffusion-webui

Stable Diffusion web UI

tmux-config

🇫🇷 Oh my tmux! My self-contained, pretty & versatile tmux configuration made with ❤️

torch-mlir

The Torch-MLIR project aims to provide first class support from the PyTorch ecosystem to the MLIR ecosystem.

tpu-mlir

Machine learning compiler based on MLIR for Sophgo TPU.

tvm

Open deep learning compiler stack for cpu, gpu and specialized accelerators

Ultra-Light-Fast-Generic-Face-Detector-1MB

💎1MB lightweight face detection model (1MB轻量级人脸检测模型)

vit-pytorch

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

YOLOX

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

zero123

Zero-1-to-3: Zero-shot One Image to 3D Object: https://zero123.cs.columbia.edu/