lfb-1

lfb-1's Stars

• StacklokLabs/promptwright

  Generate large synthetic data using an LLM

  Language:Python27425

• AI4HealthUOL/ECG-MIMIC

  Repository for the paper 'Prospects for AI-Enhanced ECG as a Unified Screening Tool for Cardiac and Non-Cardiac Conditions -- An Explorative Study in Emergency Care'.

  Language:Python312

• revalo/iceberg

  A compositional diagramming and animation library as an eDSL in Python

  Language:Python2116

• libffcv/ffcv

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

  Language:Python2.9k179

• scikit-learn-contrib/MAPIE

  A scikit-learn-compatible module to estimate prediction intervals and control risks based on conformal predictions.

  Language:Jupyter Notebook1.3k111

• sendyma/Medical-XAI

  An Interpretable and Accurate Deep-Learning Diagnosis Framework Modeled With Fully and Semi-Supervised Reciprocal Learning

  Language:Python71

• killiansheriff/LovelyPlots

  Matplotlib style sheets to nicely format figures for scientific papers, thesis and presentations while keeping them fully editable in Adobe Illustrator.

  Language:Python84935

• deel-ai/puncc

  👋 Puncc is a python library for predictive uncertainty quantification using conformal prediction.

  Language:Python30416

• OpenGSL/OpenGSL

  Language:Python16917

• iMoonLab/DeepHypergraph

  A pytorch library for graph and hypergraph computation.

  Language:Python67464

• mkirchhof/url

  Uncertainty-aware representation learning (URL) benchmark

  Language:Python982

• google-deepmind/uncertain_ground_truth

  Dermatology ddx dataset, Jax implementations of Monte Carlo conformal prediction, plausibility regions and statistical annotation aggregation from our recent work on uncertain ground truth (TMLR'23 and ArXiv pre-print).

  Language:Python54233

• cwangrun/BowelNet

  [TMI 2022] BowelNet: Joint Semantic-Geometric Ensemble Learning for Bowel Segmentation from Both Partially and Fully Labeled CT Images

  Language:Python152

• cwangrun/ST-ProtoPNet

  [ICCV 2023] Learning Support and Trivial Prototypes for Interpretable Image Classification

  Language:Python192

• ml-stat-Sustech/TorchCP

  A Python toolbox for conformal prediction research on deep learning models, using PyTorch.

  Language:Python23433

• pliang279/FactorCL

  [NeurIPS 2023] Factorized Contrastive Learning: Going Beyond Multi-view Redundancy

  Language:Jupyter Notebook606

• lukas-blecher/LaTeX-OCR

  pix2tex: Using a ViT to convert images of equations into LaTeX code.

  Language:Python12.9k1k

• Harvard-Ophthalmology-AI-Lab/FairSeg

  [ICLR 2024] FairSeg: A Large-Scale Medical Image Segmentation Dataset for Fairness Learning Using Segment Anything Model with Fair Error-Bound Scaling

  Language:Python9616

• bluecdm/Long-tailed-recognition

  Language:Python231

• jonbarron/tabilize

  Simple code for generating a color-coded latex table from raw data

  Language:Jupyter Notebook1605

• CEWu/PTNL

  [ICCV 2023] Official repository of paper titled "Why Is Prompt Tuning for Vision-Language Models Robust to Noisy Labels?"

  Language:Python224

• autonlab/aqua

  AQuA: A Benchmarking Tool for Label Quality Assessment

  Language:Jupyter Notebook191

• microsoft/InnerEye-DeepLearning

  Medical Imaging Deep Learning library to train and deploy 3D segmentation models on Azure Machine Learning

  Language:Python557143

• EfficientTraining/LabelBench

  Language:Python415

• avihu111/TypiClust

  Active Learning on a Budget - Opposite Strategies Suit High and Low Budgets

  Language:Python8310

• Guang000/Awesome-Dataset-Distillation

  A curated list of awesome papers on dataset distillation and related applications.

  Language:HTML1.4k135

• arpit2412/Noisy_Labels_IDNL

  Reimplementation of research related to noisy labels

  Language:Python5

• rom1504/img2dataset

  Easily turn large sets of image urls to an image dataset. Can download, resize and package 100M urls in 20h on one machine.

  Language:Python3.8k341

• xiemk/awesome-weakly-supervised-multi-label-learning

  523

• Felix-Petersen/difftopk

  Differentiable Top-k Classification Learning

  Language:Python773