maoxianqiu

maoxianqiu's Stars

• StiphyJay/LiDAR-PTQ

  ICLR2024: LiDAR-PTQ: Post-Training Quantization for Point Cloud 3D Object Detection.

  63

• HaohaoNJU/CenterPoint

  TensorRT deployment for CenterPoint Lidar Detection Model.

  Language:C++26555

• MCG-NJU/LinK

  [CVPR 2023] LinK: Linear Kernel for LiDAR-based 3D Perception

  Language:Python836

• AlmoonYsl/QTNet

  [NeurIPS 2023] Query-based Temporal Fusion with Explicit Motion for 3D Object Detection

  Language:Python651

• vzyrianov/LidarDM

  Language:Python1119

• VDIGPKU/DrivingGaussian

  [CVPR 2024] DrivingGaussian: Composite Gaussian Splatting for Surrounding Dynamic Autonomous Driving Scenes

  2417

• nv-tlabs/NKSR

  [CVPR 2023 Highlight] Neural Kernel Surface Reconstruction

  Language:Python74743

• zju3dv/street_gaussians

  [ECCV 2024] Street Gaussians: Modeling Dynamic Urban Scenes with Gaussian Splatting

  Language:Python79736

• PJLab-ADG/OASim

  OASim: an Open and Adaptive Simulator based on Neural Rendering for Autonomous Driving

  Language:Python20618

• yenchenlin/nerf-pytorch

  A PyTorch implementation of NeRF (Neural Radiance Fields) that reproduces the results.

  Language:Python5.4k1k

• graphdeco-inria/gaussian-splatting

  Original reference implementation of "3D Gaussian Splatting for Real-Time Radiance Field Rendering"

  Language:Python13.6k1.8k

• PJLab-ADG/DiLu

  [ICLR 2024] DiLu: A Knowledge-Driven Approach to Autonomous Driving with Large Language Models

  Language:Python21015

• OPEN-AIR-SUN/mars

  MARS: An Instance-aware, Modular and Realistic Simulator for Autonomous Driving

  Language:Python66863

• vzyrianov/lidargen

  Official implementation of "Learning to Generate Realistic LiDAR Point Clouds" (ECCV 2022)

  Language:Python12914

• langchain-ai/langchain

  🦜🔗 Build context-aware reasoning applications

  Language:Jupyter Notebook92.3k14.8k

• chatchat-space/Langchain-Chatchat

  Langchain-Chatchat（原Langchain-ChatGLM）基于 Langchain 与 ChatGLM, Qwen 与 Llama 等语言模型的 RAG 与 Agent 应用 | Langchain-Chatchat (formerly langchain-ChatGLM), local knowledge based LLM (like ChatGLM, Qwen and Llama) RAG and Agent app with langchain

  Language:TypeScript31.2k5.4k

• fudan-zvg/NeRF-LiDAR

  [AAAI 2024] NeRF-LiDAR: Generating Realistic LiDAR Point Clouds with Neural Radiance Fields

  Language:Python654

• labmlai/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, ... 🧠

  Language:Python53.9k5.6k

• FANG-MING/occupancy-for-nuscenes

  3D occupancy

  Language:Python34821

• DYZhang09/SAM3D

  [SCIS] SAM3D: Zero-Shot 3D Object Detection via Segment Anything Model

  Language:Python20211

• PJLab-ADG/DetZero

  [ICCV 2023] DetZero: Rethinking Offboard 3D Object Detection with Long-term Sequential Point Clouds

  Language:Python31332

• NVIDIA-AI-IOT/Lidar_AI_Solution

  A project demonstrating Lidar related AI solutions, including three GPU accelerated Lidar/camera DL networks (PointPillars, CenterPoint, BEVFusion) and the related libs (cuPCL, 3D SparseConvolution, YUV2RGB, cuOSD,).

  Language:Python1.3k218

• mit-han-lab/bevfusion

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

  Language:Python2.2k406

• Gumpest/YOLOv5-Multibackbone-Compression

  YOLOv5 Series Multi-backbone(TPH-YOLOv5, Ghostnet, ShuffleNetv2, Mobilenetv3Small, EfficientNetLite, PP-LCNet, SwinTransformer YOLO), Module(CBAM, DCN), Pruning (EagleEye, Network Slimming), Quantization (MQBench) and Deployment (TensorRT, ncnn) Compression Tool Box.

  Language:Python991201

• 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 Notebook46.7k5.5k

• scutan90/DeepLearning-500-questions

  深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06

  Language:JavaScript54.2k15.8k

• TRISKEL10N/CenterPoint_Se

  Language:Python101

• 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:Python64k7.9k

• youngyangyang04/leetcode-master

  《代码随想录》LeetCode 刷题攻略：200道经典题目刷题顺序，共60w字的详细图解，视频难点剖析，50余张思维导图，支持C++，Java，Python，Go，JavaScript等多语言版本，从此算法学习不再迷茫！🔥🔥 来看看，你会发现相见恨晚！🚀

  Language:Shell50.6k11.3k

• hengqiali/AwesomeCpp

  ---AWESOME--- C++学习笔记和常见面试知识点，C++11特性，包括智能指针、四种强制转换、function和bind、移动语义、完美转发、tuple、多态原理、虚表、友元函数、符号重载、函数指针、深浅拷贝、struct内存对齐、volatile以及union\static等各种关键字的用法等等

  Language:C++1.8k274