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[IEEE T-PAMI 2024] All you need for End-to-end Autonomous Driving
ChatGLM-6B: An Open Bilingual Dialogue Language Model | 开源双语对话语言模型
Semantic and Instance Segmentation of LiDAR point clouds for autonomous driving
LiDAR R-CNN: An Efficient and Universal 3D Object Detector
From Handcrafted to Deep Features for Pedestrian Detection: A Survey (TPAMI 2021)
D2Go is a toolkit for efficient deep learning
An open-source C++ library developed and used at Facebook.
PyTorch implementation of Contrastive Learning methods
MMGeneration is a powerful toolkit for generative models, based on PyTorch and MMCV.
COLMAP - Structure-from-Motion and Multi-View Stereo
This repo is implemented based on detectron2 and centernet
DCNv2 supports decent pytorch such as torch 1.5+ (now 1.8+)
NanoDet-Plus⚡Super fast and lightweight anchor-free object detection model. 🔥Only 980 KB(int8) / 1.8MB (fp16) and run 97FPS on cellphone🔥
torch-optimizer -- collection of optimizers for Pytorch
Code used to generate synthetic scenes and bounding box annotations for object detection. This was used to generate data used in the Cut, Paste and Learn paper
Python program that uses OpenCV to detect and identify playing cards from a PiCamera video feed on a Raspberry Pi
A coding-free framework built on PyTorch for reproducible deep learning studies. PyTorch Ecosystem. 🏆25 knowledge distillation methods presented at CVPR, ICLR, ECCV, NeurIPS, ICCV, etc are implemen…
MAGSAC: marginalizing sample consensus, python version
Halpe: full body human pose estimation and human-object interaction detection dataset
Advanced RANSAC (DEGENSAC) with bells and whistles for H and F estimation
PopSift is an implementation of the SIFT algorithm in CUDA.
Top conferences & Journals focused on Facial expression recognition (FER)/ Facial action unit (FAU)
The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
A curated list of resources for Learning with Noisy Labels