jakubczakon

jakubczakon's Stars

• ray-project/ray

  Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

  Language:Python34.2k47718.9k5.8k

• Lightning-AI/pytorch-lightning

  Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.

  Language:Python28.5k2507.1k3.4k

• cool-RR/PySnooper

  Never use print for debugging again

  Language:Python16.4k230134956

• OpenMined/PySyft

  Perform data science on data that remains in someone else's server

  Language:Python9.5k1983.4k2k

• bayesian-optimization/BayesianOptimization

  A Python implementation of global optimization with gaussian processes.

  Language:Python7.9k1313651.5k

• PAIR-code/facets

  Visualizations for machine learning datasets

  Language:Jupyter Notebook7.4k268159887

• bentoml/BentoML

  The easiest way to serve AI apps and models - Build Model Inference APIs, Job queues, LLM apps, Multi-model pipelines, and more!

  Language:Python7.2k771.1k792

• nteract/papermill

  📚 Parameterize, execute, and analyze notebooks

  Language:Python6k86403429

• snorkel-team/snorkel

  A system for quickly generating training data with weak supervision

  Language:Python5.8k166980857

• pytorch/ignite

  High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.

  Language:Python4.5k591.4k619

• makcedward/nlpaug

  Data augmentation for NLP

  Language:Jupyter Notebook4.5k42221463

• IDSIA/sacred

  Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.

  Language:Python4.3k70560383

• catalyst-team/catalyst

  Accelerated deep learning R&D

  Language:Python3.3k46355389

• ethen8181/machine-learning

  :earth_americas: machine learning tutorials (mainly in Python3)

  Language:HTML3.2k1326649

• mauhai/awesome-jupyterlab

  A curated list of awesome JupyterLab extensions and resources

  2.5k8411152

• Trusted-AI/AIF360

  A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.

  Language:Python2.5k91251840

• SeldonIO/alibi

  Algorithms for explaining machine learning models

  Language:Python2.4k57363252

• BloodAxe/pytorch-toolbelt

  PyTorch extensions for fast R&D prototyping and Kaggle farming

  Language:Python1.5k2933123

• jupyterlab/jupyterlab-git

  A Git extension for JupyterLab

  Language:TypeScript1.5k40608320

• dabl/dabl

  Data Analysis Baseline Library

  Language:Jupyter Notebook72423153104

• microsoft/gather

  Spit shine for Jupyter notebooks 🧽✨

  Language:Jupyter Notebook533122838

• paulknysh/blackbox

  A Python module for parallel optimization of expensive black-box functions

  Language:Python440201960

• adebayoj/fairml

  Language:Python361191072

• EpistasisLab/Aliro

  Aliro: AI-Driven Data Science

  Language:JavaScript2252529263

• amzn/metalearn-leap

  Original PyTorch implementation of the Leap meta-learner (https://arxiv.org/abs/1812.01054) along with code for running the Omniglot experiment presented in the paper.

  Language:Python14819536

• AlliedToasters/dfencoder

  Language:Jupyter Notebook12941449

• developmentseed/fastai-serving

  A Docker image for serving fast.ai models, mimicking the API of Tensorflow Serving

  Language:Python1219211

• lopuhin/kaggle-script-template

  Kaggle script build system template

  Language:Python1165060

• narenst/infinity

  AWS Spot instances for ML

  Language:Python39272

• i008/clean_ipynb

  cleanup messy jupyter notebooks

  Language:Python17105