Shelley1214

Shelley1214's Stars

• meta-llama/llama-recipes

  Scripts for fine-tuning Meta Llama3 with composable FSDP & PEFT methods to cover single/multi-node GPUs. Supports default & custom datasets for applications such as summarization and Q&A. Supporting a number of candid inference solutions such as HF TGI, VLLM for local or cloud deployment. Demo apps to showcase Meta Llama3 for WhatsApp & Messenger.

  Language:Jupyter Notebook11.4k1.6k

• yiling-chen/view-finding-network

  A deep ranking network that learns to find good compositions in a photograph.

  Language:Python7416

• MarvinChung/Orbeez-SLAM

  Language:Cuda26126

• NVlabs/nvdiffrec

  Official code for the CVPR 2022 (oral) paper "Extracting Triangular 3D Models, Materials, and Lighting From Images".

  Language:Python2.1k223

• Coolshanlan/Coronary-Artery-Segmentation

  透過 3D Unet 將心臟的冠狀動脈(包含 左冠狀動脈、有冠狀動脈、左迴旋支、左前降支、右後降支等) 分割出來，其他的後續應用及其研究是秘密歐。 Dataset 來自聯新醫院，並自己 Label 製作而成。

  Language:Jupyter Notebook357

• Coolshanlan/HighlightTranslator

  Highlight Translator can help you to translate the words quickly and accurately. By only highlighting, copying, or screenshoting the content you want to translate anywhere on your computer (ex. PDF, PPT, WORD etc.), the translated results will then be automatically displayed before you.

  Language:Python6710

• nv-tlabs/STRIVE

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

  Language:Python10420

• Khrylx/AgentFormer

  [ICCV 2021] Official PyTorch Implementation of "AgentFormer: Agent-Aware Transformers for Socio-Temporal Multi-Agent Forecasting".

  Language:Python25364

• DerrickXuNu/OpenCOOD

  [ICRA 2022] An opensource framework for cooperative detection. Official implementation for OPV2V.

  Language:Python63699

• uber-research/LaneGCN

  [ECCV2020 Oral] Learning Lane Graph Representations for Motion Forecasting

  Language:Python490131

• mvillaloboz/open-source-cs-degree

  The Open Source Computer Science Degree

  3.5k416

• winstxnhdw/KinematicBicycleModel

  Python description of the Kinematic Bicycle Model with an animated example.

  Language:Python7626

• autonomousvision/neat

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

  Language:Python30647