Chan-Sun

Chan-Sun's Stars

• XuehaiPan/nvitop

  An interactive NVIDIA-GPU process viewer and beyond, the one-stop solution for GPU process management.

  Language:Python5k2590157

• yihong0618/running_page

  Make your own running home page

  Language:Python3.7k463461.1k

• Luodian/Otter

  🦦 Otter, a multi-modal model based on OpenFlamingo (open-sourced version of DeepMind's Flamingo), trained on MIMIC-IT and showcasing improved instruction-following and in-context learning ability.

  Language:Python3.6k100163243

• IDEA-Research/T-Rex

  [ECCV2024] API code for T-Rex2: Towards Generic Object Detection via Text-Visual Prompt Synergy

  Language:Python2.3k3989152

• yformer/EfficientSAM

  EfficientSAM: Leveraged Masked Image Pretraining for Efficient Segment Anything

  Language:Jupyter Notebook2.2k2468152

• microsoft/LLaVA-Med

  Large Language-and-Vision Assistant for Biomedicine, built towards multimodal GPT-4 level capabilities.

  Language:Python1.6k2590204

• amirhossein-kz/Awesome-Diffusion-Models-in-Medical-Imaging

  Diffusion Models in Medical Imaging (Published in Medical Image Analysis Journal)

  1.6k3811151

• google/style-aligned

  Official code for "Style Aligned Image Generation via Shared Attention"

  Language:Python1.2k212891

• jackaduma/awesome_LLMs_interview_notes

  LLMs interview notes and answers:该仓库主要记录大模型（LLMs）算法工程师相关的面试题和参考答案

  1.2k177285

• mbzuai-oryx/groundingLMM

  [CVPR 2024 🔥] Grounding Large Multimodal Model (GLaMM), the first-of-its-kind model capable of generating natural language responses that are seamlessly integrated with object segmentation masks.

  Language:Python802318038

• SunzeY/AlphaCLIP

  [CVPR 2024] Alpha-CLIP: A CLIP Model Focusing on Wherever You Want

  Language:Jupyter Notebook741135446

• LLaVA-VL/LLaVA-Plus-Codebase

  LLaVA-Plus: Large Language and Vision Assistants that Plug and Learn to Use Skills

  Language:Python717122454

• Ha0Tang/AttentionGAN

  AttentionGAN for Unpaired Image-to-Image Translation & Multi-Domain Image-to-Image Translation

  Language:Python654123399

• v-iashin/video_features

  Extract video features from raw videos using multiple GPUs. We support RAFT flow frames as well as S3D, I3D, R(2+1)D, VGGish, CLIP, and TIMM models.

  Language:Python55367697

• happyharrycn/actionformer_release

  Code release for ActionFormer (ECCV 2022)

  Language:Python4521014181

• zhenyingfang/Awesome-Temporal-Action-Detection-Temporal-Action-Proposal-Generation

  Temporal Action Detection & Weakly Supervised Temporal Action Detection & Temporal Action Proposal Generation

  45021336

• ros/solidworks_urdf_exporter

  SolidWorks to URDF Exporter

  Language:C#4081881105

• zhaozh10/Awesome-CLIP-in-Medical-Imaging

  A Survey on CLIP in Medical Imaging

  3618321

• icon-lab/SynDiff

  Official PyTorch implementation of SynDiff described in the paper (https://arxiv.org/abs/2207.08208).

  Language:Python24955037

• HiLab-git/DAG4MIA

  Domain Adaptation and Generalization for Medical Image Analysis

  Language:Python12361212

• Surrey-UPLab/Recognize-Any-Regions

  Recognize Any Regions

  Language:Python1141154

• ami-iit/awesome-urdf

  A curated list of Unified Robot Description Format (URDF) libraries, tools and resources.

  97416

• HumamAlwassel/DETAD

  Diagnosing Error in Temporal Action Detectors (ECCV 2018)

  Language:Python7051021

• yanshil/Fusion2PyBullet

  Language:Python6651122

• marrlab/DISPR

  A Diffusion Model Predicts 3D Shapes from 2D Microscopy Images

  Language:Python34644

• JorisRoels/domain-adaptive-segmentation

  Domain adaptation segmentation for volume EM imaging

  Language:Python20324

• xmed-lab/TimeStamp-Surgical

  TMI 2023: Less is More: Surgical Phase Recognition from Timestamp Supervision

  Language:Python16122

• heejong-kim/learning-to-compare-longitudinal-images

  Language:Python10102

• suvadip21/DAMAN-Release

  Source code for DAMAN architecture for cell segmentation

  Language:Python51

• yu-lab-vt/NIS3D

  A Completely Annotated Benchmark for Dense 3D Nuclei Image Segmentation

  Language:MATLAB5101