namhoangle

namhoangle's Stars

• bowang-lab/MedSAM

  Segment Anything in Medical Images

  Language:Jupyter Notebook2.9k396

• kudrykv/latex-yearly-planner

  Digital planner for Supernote and ReMarkable // Support Ukraine 🇺🇦 https://savelife.in.ua/en

  Language:Go1.1k155

• mb1986/rm-hacks

  Small improvements and tweaks for rM devices, covering both rM1 and rM2.

  Language:Shell51810

• koekeishiya/yabai

  A tiling window manager for macOS based on binary space partitioning

  Language:C23.4k643

• kourgeorge/arxiv-style

  A Latex style and template for paper preprints (based on NIPS style)

  Language:TeX1.2k310

• Project-MONAI/MONAILabel

  MONAI Label is an intelligent open source image labeling and learning tool.

  Language:Python598193

• brain-research/realistic-ssl-evaluation

  Open source release of the evaluation benchmark suite described in "Realistic Evaluation of Deep Semi-Supervised Learning Algorithms"

  Language:Python45898

• SteamDeckHomebrew/decky-loader

  A plugin loader for the Steam Deck.

  Language:TypeScript4.7k161

• kevinlekiller/reshade-steam-proton

  Easy setup and updating of ReShade on Linux for games using wine or proton.

  Language:Shell41022

• CryoByte33/steam-deck-utilities

  A utility to improve performance and help manage storage on Steam Deck.

  Language:Go3.2k79

• Qiskit/qiskit-tutorials

  A collection of Jupyter notebooks showing how to use the Qiskit SDK

  Language:Jupyter Notebook2.3k1.3k

• qiskit-community/qiskit-optimization

  Quantum Optimization

  Language:Python227140

• QuEraComputing/UnitDiskMapping.jl

  Reduce several arbitrary-connectivity optimization problems into maximum independent set problems on a grid

  Language:Julia163

• amazon-braket/amazon-braket-sdk-python

  A Python SDK for interacting with quantum devices on Amazon Braket

  Language:Python301118

• retorquere/zotero-better-bibtex

  Make Zotero effective for us LaTeX holdouts

  Language:TypeScript5.3k284

• yunjey/pytorch-tutorial

  PyTorch Tutorial for Deep Learning Researchers

  Language:Python30k8.1k

• shankarpandala/lazypredict

  Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning

  Language:Python3k343

• paperswithcode/galai

  Model API for GALACTICA

  Language:Jupyter Notebook2.7k276

• qiskit-community/ibm-quantum-challenge-fall-22

  For IBM Quantum Fall Challenge 2022

  Language:Jupyter Notebook12087

• jina-ai/clip-as-service

  🏄 Scalable embedding, reasoning, ranking for images and sentences with CLIP

  Language:Python12.4k2.1k

• pyg-team/pytorch_geometric

  Graph Neural Network Library for PyTorch

  Language:Python21.2k3.6k

• SeldonIO/alibi

  Algorithms for explaining machine learning models

  Language:Python2.4k251

• Mullans/KernelWeighted

  Code for attribution of segmentation deep learning models

  Language:Jupyter Notebook3

• jshang123/G-Bert

  Pre-training of Graph Augmented Transformers for Medication Recommendation

  Language:Python11637

• MIC-DKFZ/nnUNet

  Language:Python5.7k1.7k

• OpenNeuroOrg/openneuro

  A free and open platform for analyzing and sharing neuroimaging data

  Language:JavaScript11340

• codalab/codalab-competitions

  CodaLab Competitions

  Language:Python510128

• deepchecks/deepchecks

  Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and models from research to production.

  Language:Python3.6k253

• connectomicslab/Aneurysm_Detection

  This repository contains the code used for the paper "Towards automated brain aneurysm detection in TOF-MRA: open data, weak labels, and anatomical knowledge "

  Language:Python289

• ashishpatel26/Amazing-Feature-Engineering

  Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself.

  Language:Jupyter Notebook659257