JornyWan

JornyWan's Stars

• Genesis-Embodied-AI/Genesis

  A generative world for general-purpose robotics & embodied AI learning.

  Language:Python22.8k1.9k

• google-deepmind/alphafold3

  AlphaFold 3 inference pipeline.

  Language:Python5.9k705

• TechnionComputationalMRILab/SIMPLE

  Simultaneous Multi-Plane Self-Supervised Learning for Isotropic MRI Restoration from Anisotropic Data

  Language:Python3

• a312863063/generators-with-stylegan2

  Here is a series of face generators based on StyleGAN2

  Language:Python2.4k555

• alinvdu/reproduce-dream-diffusion

  In this repository I reproduced Dream Diffusion paper in Colab environment, pre-trained EEG representation and use author checkpoints to generate images.

  Language:Jupyter Notebook91

• MarvinYu1995/HyCTAS

  HyCTAS

  Language:Python83

• sanghyun-son/EDSR-PyTorch

  PyTorch version of the paper 'Enhanced Deep Residual Networks for Single Image Super-Resolution' (CVPRW 2017)

  Language:Python2.5k675

• hongyuanyu/SPAN

  Swift Parameter-free Attention Network for Efficient Super-Resolution

  Language:Python1458

• Kent0n-Li/ChatDoctor

  Language:Python3.5k407

• Kent0n-Li/Medical-Image-Segmentation

  MedSeg: Medical Image Segmentation GUI Toolbox 可视化医学图像分割工具箱

  Language:Python22017

• peterchencyc/libNeuralDefMap

  Language:Python113

• JCATCV/MCD-Net

  official repository of Mutual-guided Color and Depth Network

  8

• thuml/Time-Series-Library

  A Library for Advanced Deep Time Series Models.

  Language:Python7.7k1.2k

• microsoft/robustlearn

  Robust machine learning for responsible AI

  Language:Python46358

• MCG-NJU/MixFormerV2

  [NeurIPS 2023] MixFormerV2: Efficient Fully Transformer Tracking

  Language:Python14520

• hekaijie123/TATrack

  Target-Aware Tracking with Long-term Context Attention

  Language:Python482

• votchallenge/toolkit

  The official VOT Challenge evaluation and analysis toolkit

  Language:Python17448

• AxDante/awesome-segment-anything-medical-images

  awesome-SAM-Medical-Images

  497

• 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 Notebook48.5k5.7k

• JornyWan/NOAH

  Searching prompt modules for parameter-efficient transfer learning.

  1

• ZhangYuanhan-AI/NOAH

  [TPAMI] Searching prompt modules for parameter-efficient transfer learning.

  Language:Python22611

• sagizty/VPT

  Unofficial code for VPT(Visual Prompt Tuning) paper of arxiv 2203.12119

  Language:Python16010

• chengstark/Segade

  A supervised machine learning semantic segmentation approach for detecting artifacts in plethysmography signals from wearables

  Language:Python142

• JornyWan/jornywan.github.io

  Language:SCSS1

• AccumulateMore/CV

  ✔（已完结）最全面的 深度学习 笔记【土堆 Pytorch】【李沐 动手学深度学习】【吴恩达 深度学习】

  Language:Jupyter Notebook6.8k877

• alexa/teach

  TEACh is a dataset of human-human interactive dialogues to complete tasks in a simulated household environment.

  Language:Python13527