zexihan

zexihan's Stars

• coder/code-server

  VS Code in the browser

  Language:TypeScript68.8k7253.6k5.6k

• dair-ai/Prompt-Engineering-Guide

  🐙 Guides, papers, lecture, notebooks and resources for prompt engineering

  Language:MDX50.8k5622074.9k

• 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 Notebook47.9k3086755.7k

• amusi/CVPR2024-Papers-with-Code

  CVPR 2024 论文和开源项目合集

  18.4k2932022.6k

• rlabbe/Kalman-and-Bayesian-Filters-in-Python

  Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

  Language:Jupyter Notebook16.9k4633274.2k

• yenchenlin/nerf-pytorch

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

  Language:Python5.5k521161.1k

• mit-han-lab/bevfusion

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

  Language:Python2.4k41607427

• fudan-zvg/Semantic-Segment-Anything

  Automated dense category annotation engine that serves as the initial semantic labeling for the Segment Anything dataset (SA-1B).

  Language:Python2.2k1958138

• autonomousvision/occupancy_networks

  This repository contains the code for the paper "Occupancy Networks - Learning 3D Reconstruction in Function Space"

  Language:Python1.5k32130294

• NVIDIAGameWorks/kaolin-wisp

  NVIDIA Kaolin Wisp is a PyTorch library powered by NVIDIA Kaolin Core to work with neural fields (including NeRFs, NGLOD, instant-ngp and VQAD).

  Language:Python1.5k4781132

• wzzheng/TPVFormer

  [CVPR 2023] An academic alternative to Tesla's occupancy network for autonomous driving.

  Language:Python1.2k3472108

• ranahanocka/point2mesh

  Reconstruct Watertight Meshes from Point Clouds [SIGGRAPH 2020]

  Language:Python1.1k3531125

• autonomousvision/convolutional_occupancy_networks

  [ECCV'20] Convolutional Occupancy Networks

  Language:Python8422568115

• weiyithu/SurroundOcc

  [ICCV 2023] SurroundOcc: Multi-camera 3D Occupancy Prediction for Autonomous Driving

  Language:Python82624117109

• CVPR2023-3D-Occupancy-Prediction/CVPR2023-3D-Occupancy-Prediction

  CVPR2023-Occupancy-Prediction-Challenge

  Language:Python802176060

• DarrenPan/Awesome-CVPR2024-Low-Level-Vision

  A Collection of Papers and Codes in CVPR2023/2022 about low level vision

  65323250

• PJLab-ADG/3DTrans

  An open-source codebase for exploring autonomous driving pre-training

  Language:Python599343573

• JeffWang987/OpenOccupancy

  [ICCV 2023] OpenOccupancy: A Large Scale Benchmark for Surrounding Semantic Occupancy Perception

  Language:Python593135750

• DeepSceneSeg/EfficientPS

  PyTorch code for training EfficientPS for Panoptic Segmentation

  Language:Python535546075

• aharley/simple_bev

  A Simple Baseline for BEV Perception

  Language:Python50386079

• open-mmlab/mmeval

  A unified evaluation library for multiple machine learning libraries

  Language:Python25881649

• MatrixBrain/awesome-NeRF

  A curated list of awesome neural radiance fields (NeRF) papers.

  22110016

• autonomousvision/occupancy_flow

  This repository contains the code for the ICCV 2019 paper "Occupancy Flow - 4D Reconstruction by Learning Particle Dynamics"

  Language:Python215151130

• AIR-DISCOVER/LODE

  [ICRA 2023] LODE: Locally Conditioned Eikonal Implicit Scene Completion from Sparse LiDAR

  Language:Python174644

• edwardzhou130/Panoptic-PolarNet

  Implementation for Panoptic-PolarNet (CVPR 2021)

  Language:Python16932530

• StiphyJay/FastPillars

  FastPillars: A Deployment-friendly Pillar-based 3D Detector

  135161512

• OPEN-AIR-SUN/SISC

  Semi-supervised Implicit Scene Completion from Sparse LiDAR

  Language:Python1183411

• d4l3k/torchdrive

  torch models and primitives for birdseye view and voxel models for self driving tasks.

  Language:Jupyter Notebook81627

• stevewongv/Sparse2Dense

  Sparse2Dense: Learning to Densify 3D Features for 3D Object Detection (NeurIPS 2022)

  Language:Python70565

• Evocargo/RaindropsOnWindshield

  A novel dataset for raindrops detection and segmentation

  Language:Python48234