Alternatives and similar repositories for machine-learning:

Users that are interested in machine-learning are comparing it to the libraries listed below

• SupaeroDataScience / reinforcement-learning
  Reinforcement Learning class
  ☆10Updated last year
• erachelson / MLclass
  My main Machine Learning class
  ☆62Updated 4 years ago
• experimental-design / bofire
  Experimental design and (multi-objective) bayesian optimization.
  ☆277Updated this week
• JeanMILPIED / JeanMILPIED.github.io
  ☆12Updated 4 months ago
• ziatdinovmax / gpax
  Gaussian Processes for Experimental Sciences
  ☆221Updated 6 months ago
• blackjax-devs / blackjax
  BlackJAX is a Bayesian Inference library designed for ease of use, speed and modularity.
  ☆900Updated 2 months ago
• probabl-ai / skore
  the scikit-learn sidekick
  ☆408Updated this week
• apalladi / feature-selection-adding-noise
  ☆16Updated last year
• JaxGaussianProcesses / GPJax
  Gaussian processes in JAX and Flax.
  ☆504Updated 2 weeks ago
• henrikbostrom / crepes
  Python package for conformal prediction
  ☆498Updated 3 weeks ago
• hi-paris / Hickathon5
  ☆49Updated 4 months ago
• antonin-lfv / Plotly_tutorial
  Plotly tutorial in Python - Graphing library
  ☆22Updated 3 years ago
• deel-ai / puncc
  👋 Puncc is a python library for predictive uncertainty quantification using conformal prediction.
  ☆325Updated 3 months ago
• MaximilianB2 / pc-gym
  Reinforcement learning environments for process control applications.
  ☆48Updated 2 months ago
• scikit-activeml / scikit-activeml
  scikit-activeml: Python library for active learning on top of scikit-learn
  ☆161Updated 2 weeks ago
• exo7math / deepmath-exo7
  Deepmath : Mathématiques des réseaux de neurones
  ☆65Updated 9 months ago
• secondmind-labs / trieste
  A Bayesian optimization toolbox built on TensorFlow
  ☆229Updated this week
• gordicaleksa / get-started-with-JAX
  The purpose of this repo is to make it easy to get started with JAX, Flax, and Haiku. It contains my "Machine Learning with JAX" series o…
  ☆723Updated last year
• danielward27 / flowjax
  ☆157Updated last month
• aai-institute / beyond-jupyter
  Software design principles for machine learning applications
  ☆353Updated 3 weeks ago
• ott-jax / ott
  Optimal transport tools implemented with the JAX framework, to solve large scale matching problems of any flavor.
  ☆580Updated this week
• scikit-learn-contrib / qolmat
  A scikit-learn-compatible module for comparing imputation methods.
  ☆137Updated 3 weeks ago
• erachelson / RLclass_MVA
  ☆54Updated 2 months ago
• probml / dynamax
  A Python package for probabilistic state space modeling with JAX
  ☆809Updated last week
• zillow / quantile-forest
  Quantile Regression Forests compatible with scikit-learn.
  ☆227Updated last week
• mengdong / python-ml-structure
  a template for my python machine learning projects
  ☆35Updated 6 years ago
• LeoIV / bounce
  Code for the paper "Bounce: Reliable High-Dimensional Bayesian Optimization for Combinatorial and Mixed Spaces"
  ☆11Updated 11 months ago
• patrick-kidger / optimistix
  Nonlinear optimisation (root-finding, least squares, ...) in JAX+Equinox. https://docs.kidger.site/optimistix/
  ☆408Updated last week
• ksehic / LassoBench
  Benchmark library for high-dimensional HPO of black-box models based on Weighted Lasso regression
  ☆12Updated 2 years ago
• google / jaxopt
  Hardware accelerated, batchable and differentiable optimizers in JAX.
  ☆962Updated 2 weeks ago