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2d_detection

TensorFlow implementation of SqueezeDet, trained on the KITTI dataset.

2dpass

2DPASS: 2D Priors Assisted Semantic Segmentation on LiDAR Point Clouds (ECCV 2022) :fire:

3d-boundingbox

PyTorch implementation for 3D Bounding Box Estimation Using Deep Learning and Geometry

3d-deepbox

3D Bounding Box Estimation Using Deep Learning and Geometry (MultiBin)

3d-pointcloud

Papers and Datasets about Point Cloud.

aadc-2017

adapt

This repository is an official implementation of ADAPT: Action-aware Driving Caption Transformer, accepted by ICRA 2023.

adaptsegnet

Learning to Adapt Structured Output Space for Semantic Segmentation, CVPR 2018 (spotlight)

advsemiseg

Adversarial Learning for Semi-supervised Semantic Segmentation, BMVC 2018

ai_for_robotics

Visualizations of algorithms covered in Sebastian Thrun's excellent Artificial Intelligence for Robotics course on Udacity.

airsim

Open source simulator based on Unreal Engine for autonomous vehicles from Microsoft AI & Research

albumentations

fast image augmentation library and easy to use wrapper around other libraries

allava

Harnessing 1.4M GPT4V-synthesized Data for A Lite Vision-Language Model

annotated_deep_learning_paper_implementations

🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

apm_planner

APM Planner Ground Control Station (Qt)

astmt

Attentive Single-tasking of Multiple Tasks

auto-lambda

The Implementation of "Auto-Lambda: Disentangling Dynamic Task Relationships" [TMLR 2022].

automaticweightedloss

Multi-task learning using uncertainty to weigh losses for scene geometry and semantics, Auxiliary Tasks in Multi-task Learning

autoneat

autoNEAT is a autonomous car simulator in 2D entirely developed in JAVA.

autonomous-driving-slam

autonomouscarai

A project on deep learning.

autonomousdrivingcookbook

Scenarios, tutorials and demos for Autonomous Driving

autoware

Open-Source To Self-Driving.

avalanche

Avalanche: an End-to-End Library for Continual Learning based on PyTorch.

awesome-3d-object-detection-for-autonomous-driving

Papers on 3D Object Detection for Autonomous Driving

awesome-ai-painting

AI绘画资料合集（包含国内外可使用平台、使用教程、参数教程、部署教程、业界新闻等等） stable diffusion tutorial、disco diffusion tutorial、 AI Platform

awesome-autonomous-vehicles

Curated List of Self-Driving Cars and Autonomous Vehicles Resources

awesome-chinese-llm

整理开源的中文大语言模型，以规模较小、可私有化部署、训练成本较低的模型为主，包括底座模型，垂直领域微调及应用，数据集与教程等。

awesome-deeplearning

深度学习入门课、资深课、特色课、学术案例、产业实践案例、深度学习知识百科及面试题库The course, case and knowledge of Deep Learning and AI

awesome-kalman

A curated list of awesome Kalman filter papers ,articles , applications, software and resources