Stars
A deep neural network that predicts whether a cancer is malignant or benign.
72.8% MobileNetV2 1.0 model on ImageNet and a spectrum of pre-trained MobileNetV2 models
The pytorch re-implement of the official efficientdet with SOTA performance in real time and pretrained weights.
Simple Code Implementation of "Xception" architecture using PyTorch.
[CVPR 2024] Official implementation of "Towards Realistic Scene Generation with LiDAR Diffusion Models"
[ICCV 2025] Official implementation of the paper “MagicDrive-V2: High-Resolution Long Video Generation for Autonomous Driving with Adaptive Control”
An PyTorch implementation AlexNet.Simple, easy to use and efficient
Offical implementation of ICCV2023 paper 3DMOTFormer: Graph Transformer for Online 3D Multi-Object Tracking.
OpenMMLab Detection Toolbox and Benchmark
[ICRA'2024] Rethinking Imitation-based Planner for Autonomous Driving
OpenMMLab's next-generation platform for general 3D object detection.
We write your reusable computer vision tools. 💜
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports comp…
Some ipython notebooks implementing AI algorithms
Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
Official code of ECCV 2020 paper "GSNet: Joint Vehicle Pose and Shape Reconstruction with Geometrical and Scene-aware Supervision". GSNet performs joint vehicle pose estimation and vehicle shape re…
OpenMMLab Semantic Segmentation Toolbox and Benchmark.
A curated list of awesome End-to-End Autonomous Driving resources (continually updated)
PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）
Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in Semantic Segmentation, Interactive Segmentation, Panoptic Segmentation, Image …
🤘 awesome-semantic-segmentation
Custom implementation of TNT-VectorNet and HOME architectures
Implementation of predictions that are confidence-aware, using current error to inform future conservatism.
Solution for Waymo Motion Prediction Challenge 2022. Our implementation of MultiPath++
Model Predictive Contouring Controller (MPCC) for Autonomous Racing
M2I is a simple but effective joint motion prediction framework through marginal and conditional predictions by exploiting the factorized relations between interacting agents.
SOS IROS 2018 GOOGLE; StereoNet ECCV2018 GOOGLE; ActiveStereoNet ECCV2018 Oral GOOGLE; HITNET CVPR2021 GOOGLE；PLUME Uber ATG