yininghase

yininghase's Stars

• zhanghang1989/ResNeSt

  ResNeSt: Split-Attention Networks

  Language:Python3.2k496

• OpenGVLab/InternImage

  [CVPR 2023 Highlight] InternImage: Exploring Large-Scale Vision Foundation Models with Deformable Convolutions

  Language:Python2.5k234

• facebookresearch/ConvNeXt

  Code release for ConvNeXt model

  Language:Python5.8k696

• facebookresearch/segment-anything

  The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

  Language:Jupyter Notebook47.6k5.6k

• zhm-real/MotionPlanning

  Motion planning algorithms commonly used on autonomous vehicles. (path planning + path tracking)

  Language:Python2.2k576

• WuStangDan/mpc-course-assignments

  Autonomous Robots: Model Predictive Control

  Language:Python2020

• sbanga16k/End-to-End-Learning-for-Self-driving-cars

  End-to-end learning for driving car in simulator by utilizing deep learning for steering angle prediction

  Language:Python93

• Nuclearstar/End-to-End-Learning-for-Self-Driving-Cars

  Build a self driving car using deep reinforcement learning.

  Language:Python207

• Gerryflap/RL_continuous_action_spaces

  An exploration of continuous action spaces in Reinforcement Learning

  Language:Python81

• philtabor/Multi-Agent-Deep-Deterministic-Policy-Gradients

  A Pytorch implementation of the multi agent deep deterministic policy gradients (MADDPG) algorithm

  Language:Python29871

• Farama-Foundation/HighwayEnv

  A minimalist environment for decision-making in autonomous driving

  Language:Python2.6k754

• LucasAlegre/sumo-rl

  Reinforcement Learning environments for Traffic Signal Control with SUMO. Compatible with Gymnasium, PettingZoo, and popular RL libraries.

  Language:Python729197

• TJU-DRL-LAB/Multiagent-RL

  The official code releasement of publications in MARL field of TJU RL lab.

  Language:Python5710

• openai/multiagent-particle-envs

  Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"

  Language:Python2.4k786

• google/deepdream

  13.2k3.2k

• openai/gym

  A toolkit for developing and comparing reinforcement learning algorithms.

  Language:Python34.8k8.6k

• yanx27/2DPASS

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

  Language:Python40552

• yanx27/JS3C-Net

  Sparse Single Sweep LiDAR Point Cloud Segmentation via Learning Contextual Shape Priors from Scene Completion (AAAI 2021)

  Language:C++21134

• AaltoML/GP-MVS

  Multi-View Stereo by Temporal Nonparametric Fusion

  Language:Python606

• PRBonn/semantic-kitti-api

  SemanticKITTI API for visualizing dataset, processing data, and evaluating results.

  Language:Python782187

• utiasSTARS/pykitti

  Python tools for working with KITTI data.

  Language:Python1.2k241

• astra-vision/LMSCNet

  LMSCNet: Lightweight Multiscale 3D Semantic Completion. Roldão, L., de Charette, R., & Verroust-Blondet, A. International Conference on 3D Vision (3DV). 2020

  Language:Python8116

• HannahHaensen/pyfu

  Deep Sensor Fusion with Pyramid Fusion Networks for 3D Semantic Segmentation

  Language:Python111

• traveller59/spconv

  Spatial Sparse Convolution Library

  Language:Python1.9k365

• llijiang/spconv

  Spatial Sparse Convolution in PyTorch

  Language:C++77

• huaaaliu/RGBX_Semantic_Segmentation

  Language:Python30829

• drprojects/DeepViewAgg

  [CVPR'22 Best Paper Finalist] Official PyTorch implementation of the method presented in "Learning Multi-View Aggregation In the Wild for Large-Scale 3D Semantic Segmentation"

  Language:Python22625

• NVIDIA/MinkowskiEngine

  Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors

  Language:Python2.5k368

• mit-han-lab/torchsparse

  [MICRO'23, MLSys'22] TorchSparse: Efficient Training and Inference Framework for Sparse Convolution on GPUs.

  Language:Cuda1.2k143

• SteveMacenski/spatio_temporal_voxel_layer

  A new voxel layer leveraging modern 3D graphics tools to modernize navigation environmental representations

  Language:C++643189