2122 Open source projects that are alternatives of or similar to Data Science Free

A curated list of references for MLOps

Arnold - DOOM Agent

Python code, PDFs and resources for the series of posts on Reinforcement Learning which I published on my personal blog

Quiz & Assignment of Coursera

A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

The most simple, flexible, and comprehensive OpenAI Gym trading environment (Approved by OpenAI Gym)

A collection of reference machine learning and optimization models for enterprise operations: marketing, pricing, supply chain

Python/PyMC3 port of the examples in " Statistical Rethinking A Bayesian Course with Examples in R and Stan" by Richard McElreath

Learn Julia the hard way!

Quiz & Assignment of Coursera

A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep

Scripts + data to recreate analyses published on http://benjaminlmoore.wordpress.com and http://blm.io

A resource list for causality in statistics, data science and physics

A gym environment for Stuart Armstrong's model of a treacherous turn.

Reinforcement Learning Tutorial with Demo: DP (Policy and Value Iteration), Monte Carlo, TD Learning (SARSA, QLearning), Function Approximation, Policy Gradient, DQN, Imitation, Meta Learning, Papers, Courses, etc..

Succinct Machine Learning algorithm implementations from scratch in Python, solving real-world problems (Notebooks and Book). Examples of Logistic Regression, Linear Regression, Decision Trees, K-means clustering, Sentiment Analysis, Recommender Systems, Neural Networks and Reinforcement Learning.

A Julia machine learning framework

Playing Atari games with TensorFlow implementation of Asynchronous Deep Q-Learning

A collection of notebooks of my Machine Learning class written in python 3

Advanced High Performance Data Science Toolbox for R by Laurae

PHP-ML - Machine Learning library for PHP

I will update this repository to learn Machine learning with python with statistics content and materials

потоковый курс "Машинное обучение и анализ данных (Machine Learning and Data Mining)" на факультете ВМК МГУ имени М.В. Ломоносова

Lifetime value in Python

🍧 A repository that contains courses I have taken on DataCamp

eBay's TSV Utilities: Command line tools for large, tabular data files. Filtering, statistics, sampling, joins and more.

50% faster, 50% less RAM Machine Learning. Numba rewritten Sklearn. SVD, NNMF, PCA, LinearReg, RidgeReg, Randomized, Truncated SVD/PCA, CSR Matrices all 50+% faster

Maze Applied Reinforcement Learning Framework

🚀 Build and manage real-life data science projects with ease!

Official community-driven Azure Machine Learning examples, tested with GitHub Actions

Ultimate Tennis Statistics and Tennis Crystal Ball - Tennis Big Data Analysis and Prediction

A Python package for building Bayesian models with TensorFlow or PyTorch

Visualize and compare datasets, target values and associations, with one line of code.

Master Thesis: Limit order placement with Reinforcement Learning

ROS 2 enabled Machine Learning algorithms

PyMC3 codes of Lee and Wagenmakers' Bayesian Cognitive Modeling - A Pratical Course

Survival analysis in Python

Notes for Deep Learning Specialization Courses led by Andrew Ng.

Dive into Machine Learning with Python Jupyter notebook and scikit-learn! First posted in 2016, maintained as of 2021. Pull requests welcome.

A curated list of artificial intelligence resources (Courses, Tools, App, Open Source Project)

Data augmentation for NLP

Aulas da Escola de Inteligência Artificial de São Paulo

Trained A Convolutional Neural Network To Play 2048 using Deep-Reinforcement Learning

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

Курс "Прикладные задачи анализа данных" (ВМК, МГУ имени М.В. Ломоносова)

VIP cheatsheets for Stanford's CS 229 Machine Learning

The purpose of this repository is to make prototypes as case study in the context of proof of concept(PoC) and research and development(R&D) that I have written in my website. The main research topics are Auto-Encoders in relation to the representation learning, the statistical machine learning for energy-based models, adversarial generation networks(GANs), Deep Reinforcement Learning such as Deep Q-Networks, semi-supervised learning, and neural network language model for natural language processing.

Python library for identifying the peaks and valleys of a time series.

Extensive and accessible COVID-19 data + forecasting for counties and hospitals. 📈

Open-source framework to detect outliers in Elasticsearch events

AI research environment for the Atari 2600 games 🤖.

Tools and Docs on the Azure Data Science Virtual Machine (http://aka.ms/dsvm)

Advanced and Fast Data Transformation in R

The code repository for projects and tutorials in R and Python that covers a variety of topics in data visualization, statistics sports analytics and general application of probability theory.

Virgilio is developed and maintained by these awesome people. You can email us virgilio.datascience (at) gmail.com or join the Discord chat.

Tools for loading standard data sets in machine learning

R package of data and code behind the stories and interactives at FiveThirtyEight

Teaching Materials for Dr. Waleed A. Yousef

fklearn: Functional Machine Learning