dkoalal

dkoalal's Stars

• binary-husky/gpt_academic

  为GPT/GLM等LLM大语言模型提供实用化交互接口，特别优化论文阅读/润色/写作体验，模块化设计，支持自定义快捷按钮&函数插件，支持Python和C++等项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, moss等。

  Language:Python64.9k2761.6k8k

• OpenDriveLab/UniAD

  [CVPR 2023 Best Paper Award] Planning-oriented Autonomous Driving

  Language:Python3.4k36181382

• torch-points3d/torch-points3d

  Pytorch framework for doing deep learning on point clouds.

  Language:Python2.5k53365391

• OpenDriveLab/End-to-end-Autonomous-Driving

  [IEEE T-PAMI 2024] All you need for End-to-end Autonomous Driving

  2.2k541219

• Pointcept/Pointcept

  Pointcept: a codebase for point cloud perception research. Latest works: PTv3 (CVPR'24 Oral), PPT (CVPR'24), OA-CNNs (CVPR'24), MSC (CVPR'23)

  Language:Python1.6k19301170

• rusty1s/pytorch_scatter

  PyTorch Extension Library of Optimized Scatter Operations

  Language:Python1.5k17386179

• autonomousvision/transfuser

  [PAMI'23] TransFuser: Imitation with Transformer-Based Sensor Fusion for Autonomous Driving; [CVPR'21] Multi-Modal Fusion Transformer for End-to-End Autonomous Driving

  Language:Python1.1k24241187

• tusen-ai/SST

  Code for a series of work in LiDAR perception, including SST (CVPR 22), FSD (NeurIPS 22), FSD++ (TPAMI 23), FSDv2, and CTRL (ICCV 23, oral).

  Language:Python79315191100

• hustvl/VAD

  [ICCV 2023] VAD: Vectorized Scene Representation for Efficient Autonomous Driving

  Language:Python667308468

• MenghaoGuo/PCT

  Jittor implementation of PCT:Point Cloud Transformer

  Language:Python657163880

• qq456cvb/Point-Transformers

  Point Transformers

  Language:Python632945102

• facebookresearch/3detr

  Code & Models for 3DETR - an End-to-end transformer model for 3D object detection

  Language:Python621555377

• opendilab/InterFuser

  [CoRL 2022] InterFuser: Safety-Enhanced Autonomous Driving Using Interpretable Sensor Fusion Transformer

  Language:Python536129946

• Julie-tang00/Point-BERT

  [CVPR 2022] Pre-Training 3D Point Cloud Transformers with Masked Point Modeling

  Language:Python530117064

• dotchen/LAV

  (CVPR 2022) A minimalist, mapless, end-to-end self-driving stack for joint perception, prediction, planning and control.

  Language:Python402124469

• Haiyang-W/DSVT

  [CVPR2023] Official Implementation of "DSVT: Dynamic Sparse Voxel Transformer with Rotated Sets"

  Language:Python37887729

• OpenDriveLab/TCP

  [NeurIPS 2022] Trajectory-guided Control Prediction for End-to-end Autonomous Driving: A Simple yet Strong Baseline.

  Language:Python357126646

• wayveai/mile

  PyTorch code for the paper "Model-Based Imitation Learning for Urban Driving".

  Language:Python35444634

• OpenDriveLab/ST-P3

  [ECCV 2022] ST-P3, an end-to-end vision-based autonomous driving framework via spatial-temporal feature learning.

  Language:Python31792738

• autonomousvision/neat

  [ICCV'21] NEAT: Neural Attention Fields for End-to-End Autonomous Driving

  Language:Python310172147

• dvlab-research/SphereFormer

  The official implementation for "Spherical Transformer for LiDAR-based 3D Recognition" (CVPR 2023).

  Language:Python30067434

• PointsCoder/VOTR

  Voxel Transformer for 3D object detection

  Language:Python24433126

• autonomousvision/carla_garage

  [ICCV'23] Hidden Biases of End-to-End Driving Models

  Language:Python22794719

• dvlab-research/LargeKernel3D

  LargeKernel3D: Scaling up Kernels in 3D Sparse CNNs (CVPR 2023)

  Language:Python1956168

• OpenDriveLab/DriveAdapter

  [ICCV 2023 Oral] A New Paradigm for End-to-end Autonomous Driving to Alleviate Causal Confusion

  Language:Python1956814

• skyhehe123/VoxSeT

  Voxel Set Transformer: A Set-to-Set Approach to 3D Object Detection from Point Clouds (CVPR 2022)

  Language:Python19132218

• bradyz/2020_CARLA_challenge

  "Learning by Cheating" (CoRL 2019) submission for the 2020 CARLA Challenge

  Language:Shell18165450

• dvlab-research/SparseTransformer

  A fast and memory-efficient libarary for sparse transformer with varying token numbers (e.g., 3D point cloud).

  Language:Python1566711

• dvlab-research/spconv-plus

  Language:Python154487

• Kin-Zhang/carla-expert

  All kind of experts that can collect data for e2e learning in CARLA; 根据现有的开源代码，收集的相关experts

  Language:Python116233