111zhe

111zhe's Stars

• rail-berkeley/hil-serl

  Language:Python22826

• YizhouXu-THU/CLIC

  [ICRA 2024] Official codes for paper: Continual Driving Policy Optimization with Closed-Loop Individualized Curricula.

  Language:Python17

• sfujim/TD3

  Author's PyTorch implementation of TD3 for OpenAI gym tasks

  Language:Python1.7k438

• javyduck/ChatScene

  [CVPR2024] ChatScene: Knowledge-Enabled Safety-Critical Scenario Generation for Autonomous Vehicles https://arxiv.org/abs/2405.14062

  Language:Python935

• li199603/pytorch_focal_loss

  A pytorch implementation of focal loss

  Language:Python101

• MarkFzp/humanplus

  [CoRL 2024] HumanPlus: Humanoid Shadowing and Imitation from Humans

  Language:Python59195

• bguillouet/traj-dist

  A python package for computing distance between 2D trajectories.

  Language:Python31180

• Franky-X/Awesome-Embodied-Navigation

  Awesome Embodied Navigation: Concept, Paradigm and State-of-the-arts

  863

• graspnet/graspnet-baseline

  Baseline model for "GraspNet-1Billion: A Large-Scale Benchmark for General Object Grasping" (CVPR 2020)

  Language:Python517152

• NVIDIA/MinkowskiEngine

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

  Language:Python2.5k369

• graspnet/graspnetAPI

  Toolbox for our GraspNet-1Billion dataset.

  Language:Python20352

• graspnet/anygrasp_sdk

  Language:Python36634

• IDEA-Research/Grounded-Segment-Anything

  Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything

  Language:Jupyter Notebook15.3k1.4k

• LLaVA-VL/LLaVA-Plus-Codebase

  LLaVA-Plus: Large Language and Vision Assistants that Plug and Learn to Use Skills

  Language:Python71353

• haotian-liu/LLaVA

  [NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.

  Language:Python20.5k2.3k

• apachecn/rate-my-supervisor

  Language:JavaScript934142

• zqzqz/AdvTrajectoryPrediction

  Implementation of CVPR 2022 paper "On Adversarial Robustness of Trajectory Prediction for Autonomous Vehicles" https://arxiv.org/abs/2201.05057

  Language:Python9519

• autonomousvision/king

  [ECCV'22] KING: Generating Safety-Critical Driving Scenarios for Robust Imitation via Kinematics Gradients

  Language:Python7510

• nv-tlabs/STRIVE

  Code for CVPR 2022 paper "Generating Useful Accident-Prone Driving Scenarios via a Learned Traffic Prior"

  Language:Python12623

• StanfordASL/Trajectron

  Code accompanying "The Trajectron: Probabilistic Multi-Agent Trajectory Modeling with Dynamic Spatiotemporal Graphs" by Boris Ivanovic and Marco Pavone.

  Language:Jupyter Notebook13540

• XHwind/V2XP-ASG

  [ICRA 2023] V2XP-ASG: Generating Adversarial Scenes for Vehicle-to-Everything Perception

  Language:Python213

• nachiket92/conv-social-pooling

  Code for model proposed in: Nachiket Deo and Mohan M. Trivedi,"Convolutional Social Pooling for Vehicle Trajectory Prediction." CVPRW, 2018

  Language:Python336102

• atomiechen/THU-PPT-Theme

  清华主题PPT模板

  1.1k84

• metadriverse/scenarionet

  ScenarioNet: Scalable Traffic Scenario Management System for Autonomous Driving

  Language:Python19223

• trust-ai/SafeBench

  A Benchmark for Evaluating Autonomous Vehicles in Safety-critical Scenarios

  Language:Python10421

• clcarwin/focal_loss_pytorch

  A PyTorch Implementation of Focal Loss.

  Language:Python966227

• Tsinghua-MARS-Lab/M2I

  M2I is a simple but effective joint motion prediction framework through marginal and conditional predictions by exploiting the factorized relations between interacting agents.

  Language:Python19624

• DLR-RM/stable-baselines3

  PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

  Language:Python9.2k1.7k

• uber-research/LaneGCN

  [ECCV2020 Oral] Learning Lane Graph Representations for Motion Forecasting

  Language:Python507132

• cvlab-yonsei/EWGS

  An official implementation of "Network Quantization with Element-wise Gradient Scaling" (CVPR 2021) in PyTorch.

  Language:Python9017