Tensors and Dynamic neural networks in Python with strong GPU acceleration

Models and examples built with TensorFlow

openpilot is an operating system for robotics. Currently, it upgrades the driver assistance system on 275+ supported cars.

2023年最新总结，阿里，腾讯，百度，美团，头条等技术面试题目，以及答案，专家出题人分析汇总。

A toolkit for developing and comparing reinforcement learning algorithms.

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.

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

Python sample codes and textbook for robotics algorithms.

中文独立博客列表

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

3D Reconstruction Software

Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.

PyTorch3D is FAIR's library of reusable components for deep learning with 3D data

Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version

A faster pytorch implementation of faster r-cnn

Object detection, 3D detection, and pose estimation using center point detection:

PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.

Build Graph Nets in Tensorflow

A simple, fully convolutional model for real-time instance segmentation.

PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

OpenPCDet Toolbox for LiDAR-based 3D Object Detection.

dataset and code for 2016 paper "Learning a Driving Simulator"

PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKT…

Python package for the evaluation of odometry and SLAM

[ECCV 2022] This is the official implementation of BEVFormer, a camera-only framework for autonomous driving perception, e.g., 3D object detection and semantic map segmentation.

SuperGlue: Learning Feature Matching with Graph Neural Networks (CVPR 2020, Oral)

[CVPR19/TPAMI23] SiamMask: A Framework for Fast Online Object Tracking and Segmentation

Visual localization made easy with hloc

A high-performance distributed training framework for Reinforcement Learning