morteza

morteza's Stars

• ageron/handson-ml2

  A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

  Language:Jupyter Notebook28k65551112.8k

• huggingface/datasets

  🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools

  Language:Python19.2k2802.9k2.7k

• ddbourgin/numpy-ml

  Machine learning, in numpy

  Language:Python15.4k456503.7k

• probml/pml-book

  "Probabilistic Machine Learning" - a book series by Kevin Murphy

  Language:Jupyter Notebook5k88653593

• google/model_search

  Language:Python3.3k9352460

• Machine-Learning-Tokyo/Interactive_Tools

  Interactive Tools for Machine Learning, Deep Learning and Math

  2.6k851306

• danielegrattarola/spektral

  Graph Neural Networks with Keras and Tensorflow 2.

  Language:Python2.4k45278334

• sfu-db/dataprep

  Open-source low code data preparation library in python. Collect, clean and visualization your data in python with a few lines of code.

  Language:Python2.1k27415206

• feature-engine/feature_engine

  Feature engineering package with sklearn like functionality

  Language:Python1.9k33324312

• uncertainty-toolbox/uncertainty-toolbox

  Uncertainty Toolbox: a Python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization

  Language:Python1.8k3534129

• tensorflow/quantum

  Hybrid Quantum-Classical Machine Learning in TensorFlow

  Language:Python1.8k83326577

• ModelOriented/DALEX

  moDel Agnostic Language for Exploration and eXplanation

  Language:Python1.4k50406166

• google-deepmind/jraph

  A Graph Neural Network Library in Jax

  Language:Python1.4k393990

• Ranlot/single-parameter-fit

  Real numbers, data science and chaos: How to fit any dataset with a single parameter

  Language:Jupyter Notebook64516758

• Neuraxio/Neuraxle

  The world's cleanest AutoML library ✨ - Do hyperparameter tuning with the right pipeline abstractions to write clean deep learning production pipelines. Let your pipeline steps have hyperparameter spaces. Design steps in your pipeline like components. Compatible with Scikit-Learn, TensorFlow, and most other libraries, frameworks and MLOps environments.

  Language:Python6081931762

• BCG-X-Official/facet

  Human-explainable AI.

  Language:Jupyter Notebook515123046

• JovianHQ/opendatasets

  A Python library for downloading datasets from Kaggle, Google Drive, and other online sources.

  Language:Python327158139

• ICB-DCM/pyPESTO

  python Parameter EStimation TOolbox

  Language:Python2191153947

• ICB-DCM/pyABC

  distributed, likelihood-free inference

  Language:Python204628144

• Franck-Dernoncourt/pubmed-rct

  PubMed 200k RCT dataset: a large dataset for sequential sentence classification.

  19211444

• pbiecek/ema

  Explanatory Model Analysis. Explore, Explain and Examine Predictive Models

  Language:Jupyter Notebook181186139

• MicheleNuijten/statcheck

  A spellchecker for statistics

  Language:R175134927

• Donders-Institute/bidscoin

  BIDScoin converts your source-level neuroimaging data to BIDS

  Language:Python130319135

• PEtab-dev/PEtab

  PEtab - an SBML and TSV based data format for parameter estimation problems in systems biology

  601723212

• snastase/narratives

  Narratives: fMRI data for evaluating models of naturalistic language comprehension

  Language:Python58114

• bambinos/formulae

  Formulas for mixed-effects models in Python

  Language:Python5652914

• con/open-brain-consent

  Making neuroimaging open from the grounds (consent form) and up (tools)

  Language:Shell44145839

• raamana/confounds

  Conquering confounds and covariates: methods, library and guidance

  Language:Python3861414

• piantado/pychuriso

  Python implementation of churiso

  Language:Python19312

• physiopy/phys2denoise

  A toolbox and collection of scripts to prepare physiology data for fMRI denoise

  Language:Python943419