samronsin's Stars
CamDavidsonPilon/tdigest
t-Digest data structure in Python. Useful for percentiles and quantiles, including distributed enviroments like PySpark
mathematical-tours/mathematical-tours.github.io
Site web of the Mathematical Tours
airspeed-velocity/asv
Airspeed Velocity: A simple Python benchmarking tool with web-based reporting
dataiku-research/cardinal
A practical Active Learning python package with a strong focus on experiments.
facebook/Ax
Adaptive Experimentation Platform
Ranlot/single-parameter-fit
Real numbers, data science and chaos: How to fit any dataset with a single parameter
NicolasHug/Surprise
A Python scikit for building and analyzing recommender systems
BayesWitnesses/m2cgen
Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies
scikit-learn-contrib/metric-learn
Metric learning algorithms in Python
johannfaouzi/pyts
A Python package for time series classification
aj-cloete/pssa
Singular Spectrum Analysis for time series forecasting in Python
ogrisel/pygbm
Experimental Gradient Boosting Machines in Python with numba.
skrub-data/skrub
Prepping tables for machine learning
FluxML/Flux.jl
Relax! Flux is the ML library that doesn't make you tensor
deeplearning4j/deeplearning4j
Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math code and a java based math library on top of the core c++ library. Also includes samediff: a pytorch/tensorflow like library for running deep learn...
apache/lucene-solr
Apache Lucene and Solr open-source search software
sphinxteam/dnner
Deep Neural Networks Entropy from Replicas
flairNLP/flair
A very simple framework for state-of-the-art Natural Language Processing (NLP)
caioaao/wolpert
A stacked generalization framework. Built on top of scikit learn
flennerhag/mlens
ML-Ensemble – high performance ensemble learning
DEAP/deap
Distributed Evolutionary Algorithms in Python
py-why/dowhy
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.
ray-project/ray
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
git/git
Git Source Code Mirror - This is a publish-only repository but pull requests can be turned into patches to the mailing list via GitGitGadget (https://gitgitgadget.github.io/). Please follow Documentation/SubmittingPatches procedure for any of your improvements.
scikit-garden/scikit-garden
A garden for scikit-learn compatible trees
pallets/jinja
A very fast and expressive template engine.
rayon-rs/rayon
Rayon: A data parallelism library for Rust
joblib/joblib
Computing with Python functions.
instacart/lore
Lore makes machine learning approachable for Software Engineers and maintainable for Machine Learning Researchers
cython/cython
The most widely used Python to C compiler