runjia0124

runjia0124's Stars

• microsoft/generative-ai-for-beginners

  21 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/

  Language:Jupyter Notebook66k56713133.9k

• psf/black

  The uncompromising Python code formatter

  Language:Python39.4k2292.7k2.5k

• google/python-fire

  Python Fire is a library for automatically generating command line interfaces (CLIs) from absolutely any Python object.

  Language:Python27.3k3693241.4k

• hpcaitech/Open-Sora

  Open-Sora: Democratizing Efficient Video Production for All

  Language:Python22.9k1895242.3k

• kenjihiranabe/The-Art-of-Linear-Algebra

  Graphic notes on Gilbert Strang's "Linear Algebra for Everyone"

  Language:PostScript18.3k148142.2k

• jaakkopasanen/AutoEq

  Automatic headphone equalization from frequency responses

  Language:Python13.6k1887802.5k

• NVIDIA/TensorRT

  NVIDIA® TensorRT™ is an SDK for high-performance deep learning inference on NVIDIA GPUs. This repository contains the open source components of TensorRT.

  Language:C++11k1573.8k2.1k

• bowang-lab/MedSAM

  Segment Anything in Medical Images

  Language:Jupyter Notebook3.1k24300429

• libffcv/ffcv

  FFCV: Fast Forward Computer Vision (and other ML workloads!)

  Language:Python2.9k21284179

• fepegar/torchio

  Medical imaging toolkit for deep learning

  Language:Python2.1k19465239

• muskie82/MonoGS

  [CVPR'24 Highlight & Best Demo Award] Gaussian Splatting SLAM

  Language:Python1.5k20164139

• jonkhler/s2cnn

  Spherical CNNs

  Language:Python9502848174

• liliu-avril/Awesome-Segment-Anything

  This repository is for the first comprehensive survey on Meta AI's Segment Anything Model (SAM).

  86821757

• BBillot/SynthSeg

  Contrast-agnostic segmentation of MRI scans

  Language:Python38988799

• daniilidis-group/spherical-cnn

  Demo code for the paper "Learning SO(3) Equivariant Representations with Spherical CNNs"

  Language:Python291161350

• Ysz2022/NeRCo

  [ICCV 2023] Implicit Neural Representation for Cooperative Low-light Image Enhancement

  Language:Python22351615

• xiaoaoran/3d_url_survey

  (TPAMI2023) Unsupervised Point Cloud Representation Learning with Deep Neural Networks: A Survey

  20614120

• bids-standard/bids-examples

  A set of BIDS compatible datasets with empty raw data files that can be used for writing lightweight software tests.

  Language:MATLAB18134109137

• JiaoXianghao/BOAT

  Tutorial

  Language:Python1631045

• MIC-DKFZ/MITK-Diffusion

  MITK Diffusion - Official part of the Medical Imaging Interaction Toolkit

  Language:C++8561515

• sbl1996/ygo-agent

  AI-driven Yu-Gi-Oh! bot using deep reinforcement learning and LLMs

  Language:Python78566

• yeatmanlab/AFQ

  Automated Fiber Quantification

  Language:MATLAB76192852

• yeatmanlab/pyAFQ

  Automated Fiber Quantification ... in Python

  Language:Python581249033

• BioMedIA/dhcp-structural-pipeline

  structural analysis of neonatal brain MRI scans

  Language:Python5142516

• nipreps/sdcflows

  Susceptibility Distortion Correction (SDC) workflows for EPI MR schemes

  Language:Python331317027

• wdhudiekou/IRFS

  [Information Fusion 2023] An Interactively Reinforced Paradigm for Joint Infrared-Visible Image Fusion and Saliency Object Detection

  Language:Python32232

• RollingPlain/HSDS_MEF

  Hybrid-Supervised Dual-Search: Leveraging Automatic Learning for Loss-Free Multi-Exposure Image Fusion

  Language:Python14200

• GeodAIsics/TractLearn-WholeBrain

  TractLearn is a Manifold Learning Toolbox for precision medicine. The first application is for Diffusion-Weighted MRI quantitative analysis.

  Language:Python8211

• tueimage/DeepBundle

  Language:Python5701

• Xinyu-Nie/SurfTracker

  A novel probabilistic tractography in Superficial White Matter

  Language:C4111