xiaotongnii

d2l-zh

《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。

openpilot

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

apollo

An open autonomous driving platform

vision

Datasets, Transforms and Models specific to Computer Vision

ml-visuals

🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.

CenterNet

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

Surprise

A Python scikit for building and analyzing recommender systems

deep_sort

Simple Online Realtime Tracking with a Deep Association Metric

pointnet

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

sort

Simple, online, and realtime tracking of multiple objects in a video sequence.

ros2

The Robot Operating System, is a meta operating system for robots.

BEVFormer

[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.

bevfusion

[ICRA'23] BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation

CenterPoint

pytorch-fcn

PyTorch Implementation of Fully Convolutional Networks. (Training code to reproduce the original result is available.)

Ne10

An open optimized software library project for the ARM® Architecture

VoxelNeXt

VoxelNeXt: Fully Sparse VoxelNet for 3D Object Detection and Tracking (CVPR 2023)

EfficientPS

PyTorch code for training EfficientPS for Panoptic Segmentation

classic-platform

Open source AUTOSAR classic platform forked from the Arctic Core

VoxelNet-pytorch

Deep-Learning-Image-Segmentation

A Theory and Practical Guide to Deep Learning Semantic Segmentation

ros2_21_tutorials

relax

notebooks

muSSP

An exact and efficient min-cost flow algorithm for data-association in multi-object tracking

arccore

Arctic Core - the open source AUTOSAR embedded platform

recommend-tf2.0

推荐系统之深度学习模型，框架采用tensorflow2

nn-hal

recommend-learning

推荐算法学习

hands-on-tvm

hands on model tuning with TVM and profile it on a Mac M1, x86 CPU, and GTX-1080 GPU.