maxvol

maxvol's Stars

• jax-ml/jax

  Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

  Language:Python30.6k3375.7k2.8k

• fivethirtyeight/data

  Data and code behind the articles and graphics at FiveThirtyEight

  Language:Jupyter Notebook16.9k1.3k16210.9k

• redis/redis-py

  Redis Python client

  Language:Python12.7k3281.7k2.5k

• apple/ml-ferret

  Language:Python8.5k1590499

• HIPS/autograd

  Efficiently computes derivatives of NumPy code.

  Language:Python7k212403914

• vwxyzjn/cleanrl

  High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)

  Language:Python5.7k38185644

• mermaid-js/mermaid-cli

  Command line tool for the Mermaid library

  Language:JavaScript2.5k36185238

• jordibruin/Swift-Charts-Examples

  An overview of the different types of charts you can make with Swift Charts

  Language:Swift2.1k2926132

• vaaaaanquish/Awesome-Rust-MachineLearning

  This repository is a list of machine learning libraries written in Rust. It's a compilation of GitHub repositories, blogs, books, movies, discussions, papers, etc. 🦀

  Language:JavaScript2k484112

• SciML/SciMLBook

  Parallel Computing and Scientific Machine Learning (SciML): Methods and Applications (MIT 18.337J/6.338J)

  Language:HTML1.9k6636335

• CodeReclaimers/neat-python

  Python implementation of the NEAT neuroevolution algorithm

  Language:Python1.4k74215495

• GoogleCloudPlatform/cloud-builders-community

  Community-contributed images for Google Cloud Build

  Language:Go1.3k59142859

• facebookexperimental/Robyn

  Robyn is an experimental, AI/ML-powered and open sourced Marketing Mix Modeling (MMM) package from Meta Marketing Science. Our mission is to democratise modeling knowledge, inspire the industry through innovation, reduce human bias in the modeling process & build a strong open source marketing science community.

  Language:Jupyter Notebook1.2k59728344

• luchris429/purejaxrl

  Really Fast End-to-End Jax RL Implementations

  Language:Python730112261

• inamiy/Cassowary

  An incremental linear constraint-solving algorithm (Auto Layout) in Swift.

  Language:Swift5029117

• JuliaStats/MultivariateStats.jl

  A Julia package for multivariate statistics and data analysis (e.g. dimension reduction)

  Language:Julia3792811786

• JuliaManifolds/Manifolds.jl

  Manifolds.jl provides a library of manifolds aiming for an easy-to-use and fast implementation.

  Language:Julia3761323255

• wiseaidev/rust-data-analysis

  Rust for data analysis encyclopedia (WIP).

  Language:Jupyter Notebook3638837

• JuliaManifolds/Manopt.jl

  🏔️Manopt. jl – Optimization on Manifolds in Julia

  Language:Julia3231410940

• ksachdeva/rethinking-tensorflow-probability

  Statistical Rethinking (2nd Ed) with Tensorflow Probability

  Language:Jupyter Notebook27014450

• eeghor/mta

  Multi-Touch Attribution

  Language:Python10912834

• JimmyMAndersson/StatKit

  A collection of statistical analysis tools for your Swift programs.

  Language:Swift864587

• kfoofw/bandit_simulations

  Bandit algorithms simulations for online learning

  Language:Jupyter Notebook795132

• subskybox/Orba

  A collection of utilities for the Artiphon Orba

  Language:HTML33814

• v-i-s-h/MAB.jl

  A Julia Package for providing Multi Armed Bandit Experiments

  Language:Julia20628

• maxlit/powerindex

  Calculation of power indices (e.g. Banzhaf power index, Shapley-Shubik power index etc)

  Language:Jupyter Notebook16642

• Jinksi/cloudrun-helloworld-r

  An example of creating serverless functions using R, plumber and Docker

  Language:R12436

• Mythili7/Game-Theory

  Language:Jupyter Notebook10305

• rj678/pycausalmatch

  Causal Impact of an intervention integrated with control group selection

  Language:Jupyter Notebook9283

• ifau/Simplex-Swift

  A basic implementation of the Simplex algorithm, written in Swift.

  Language:Swift5300