sherylwang

sherylwang's Stars

• 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

• microsoft/DeepSpeed

  DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

  Language:Python35.7k3452.9k4.1k

• google-research/tuning_playbook

  A playbook for systematically maximizing the performance of deep learning models.

  27.4k286422.3k

• facebookresearch/dinov2

  PyTorch code and models for the DINOv2 self-supervised learning method.

  Language:Jupyter Notebook9.3k95409834

• openlm-research/open_llama

  OpenLLaMA, a permissively licensed open source reproduction of Meta AI’s LLaMA 7B trained on the RedPajama dataset

  7.4k12291380

• IDEA-Research/GroundingDINO

  [ECCV 2024] Official implementation of the paper "Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection"

  Language:Python6.9k42305700

• OpenDriveLab/UniAD

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

  Language:Python3.6k38190407

• 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

• traveller59/spconv

  Spatial Sparse Convolution Library

  Language:Python1.9k24698367

• V2AI/Det3D

  World's first general purpose 3D object detection codebse.

  Language:Python1.5k39147299

• 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:Python1.4k19289239

• chaytonmin/Awesome-BEV-Perception-Multi-Cameras

  Awesome papers about Multi-Camera 3D Object Detection and Segmentation in Bird's-Eye-View, such as DETR3D, BEVDet, BEVFormer, BEVDepth, UniAD

  994527108

• megvii-research/PETR

  [ECCV2022] PETR: Position Embedding Transformation for Multi-View 3D Object Detection & [ICCV2023] PETRv2: A Unified Framework for 3D Perception from Multi-Camera Images

  Language:Python87913162132

• Pointcept/PointTransformerV3

  [CVPR'24 Oral] Official repository of Point Transformer V3 (PTv3)

  Language:Python8411411747

• exiawsh/StreamPETR

  [ICCV 2023] StreamPETR: Exploring Object-Centric Temporal Modeling for Efficient Multi-View 3D Object Detection

  Language:Python5961224164

• NVIDIA/TensorRT-Model-Optimizer

  TensorRT Model Optimizer is a unified library of state-of-the-art model optimization techniques such as quantization, pruning, distillation, etc. It compresses deep learning models for downstream deployment frameworks like TensorRT-LLM or TensorRT to optimize inference speed on NVIDIA GPUs.

  Language:Python5941510344

• JeffWang987/OpenOccupancy

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

  Language:Python593135750

• OpenDriveLab/OccNet

  [ICCV 2023] OccNet: Scene as Occupancy

  Language:Python573164851

• OpenGVLab/DCNv4

  [CVPR 2024] Deformable Convolution v4

  Language:Python52988927

• DerryHub/BEVFormer_tensorrt

  BEVFormer inference on TensorRT, including INT8 Quantization and Custom TensorRT Plugins (float/half/half2/int8).

  Language:Python43358171

• PJLab-ADG/OpenPCSeg

  OpenPCSeg: Open Source Point Cloud Segmentation Toolbox and Benchmark

  Language:Python371122636

• MCG-NJU/SparseBEV

  [ICCV 2023] SparseBEV: High-Performance Sparse 3D Object Detection from Multi-Camera Videos

  Language:Python36389027

• zhangyp15/OccFormer

  [ICCV 2023] OccFormer: Dual-path Transformer for Vision-based 3D Semantic Occupancy Prediction

  Language:Python33192423

• itsprakhar/Downstream-Dinov2

  Downstream-Dino-V2: A GitHub repository featuring an easy-to-use implementation of the DINOv2 model by Facebook for downstream tasks such as Classification, Semantic Segmentation and Monocular depth estimation.

  Language:Jupyter Notebook19831113

• zya3d/Awesome-3D-Occupancy-Prediction

  Vision-based 3D occupancy prediction in autonomous driving: a review and outlook

  170506

• robot-learning-freiburg/PanopticBEV

  Bird's-Eye-View Panoptic Segmentation Using Monocular Frontal View Images. http://panoptic-bev.cs.uni-freiburg.de

  Language:Python12582322

• ModelTC/Dipoorlet

  Offline Quantization Tools for Deploy.

  Language:Python116141116

• Fudan-ProjectTitan/OpenAnnotate3D

  OpenAnnotate3D: Open-Vocabulary Auto-Labeling System for Multi-modal Data

  Language:Jupyter Notebook771342

• NVlabs/EfficientDL

  Language:HTML30512

• swiss-ai-center/djl-image-sam-example

  Djl interface adapter to SAM

  Language:Python8812