Stars
RTMPose series (RTMPose, DWPose, RTMO, RTMW) without mmcv, mmpose, mmdet etc.
Industry leading face manipulation platform
Effortless data labeling with AI support from Segment Anything and other awesome models.
SAM with text prompt
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
PyTorch Lightning + Hydra. A very user-friendly template for ML experimentation. ⚡🔥⚡
Official PyTorch implementation of "The Center of Attention: Center-Keypoint Grouping via Attention for Multi-Person Pose Estimation" (ICCV 21).
Complete cell formatting support for Google spreadsheets via gspread package.
A simple pytorch implementation of CenterNet (Objects as Points)
Python library to download bulk of images from Bing.com
Codebase for Image Classification Research, written in PyTorch.
Visualizer for neural network, deep learning and machine learning models
Real-World Masked Face Dataset,口罩人脸数据集
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
Tincta is a one-window text editor for macOS with focus on speed, stability and ease of use.
FairNAS: Rethinking Evaluation Fairness of Weight Sharing Neural Architecture Search
Latex code for making neural networks diagrams
Codes for our paper "Progressive Differentiable Architecture Search:Bridging the Depth Gap between Search and Evaluation"
A lightweight 3D Morphable Face Model library in modern C++
A code-searching tool similar to ack, but faster.
人像matting数据集,包含34427张图像和对应的matting结果图。
The C++ Core Guidelines are a set of tried-and-true guidelines, rules, and best practices about coding in C++
A curated list of awesome C++ (or C) frameworks, libraries, resources, and shiny things. Inspired by awesome-... stuff.
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scutjy2015@163.com 版权所有,违权必究 Tan 2018.06
Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.