931 Open source projects that are alternatives of or similar to Toolbox

An easy-to-use interface for measuring uncertainty and robustness.

A curated list of awesome big data frameworks, ressources and other awesomeness.

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 ;)

A simple probabilistic programming language.

A Python package for building Bayesian models with TensorFlow or PyTorch

🌊 Online machine learning in Python

Probabilistic reasoning and statistical analysis in TensorFlow

High-quality implementations of standard and SOTA methods on a variety of tasks.

A probabilistic programming language in TensorFlow. Deep generative models, variational inference.

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

🏖TagEditor - Annotation tool for spaCy

Data science and Machine Learning GUI programs/ desktop apps with PySimpleGUI package

Human Activity Recognition (HAR) with 1D Convolutional Neural Network in Python and Keras

A searchable compilation of Kaggle past solutions

Provides a systematic and extensible way to build, train, evaluate, and tune deep learning models using PyTorch.

Simple Smart Pipe: python productivity-tool for rapid data manipulation

A PureScript, browser-based implementation of LDA topic modeling.

Tutorials and training material for the H2O Machine Learning Platform

🧬 A JupyterLab extension for annotating data with Prodigy

A Machine Learning API with native redis caching and export + import using S3. Analyze entire datasets using an API for building, training, testing, analyzing, extracting, importing, and archiving. This repository can run from a docker container or from the repository.

A jupyter notebook that provides analysis for StarCraft 2 replays

A Chinese translation of Jake Vanderplas' "Python Data Science Handbook". 《Python数据科学手册》在线Jupyter notebook中文翻译

Explore high-dimensional datasets and how your algo handles specific regions.

Data transformations for the ML era

EPFL summaries & cheatsheets over 5 years (computer science, communication systems, data science and computational neuroscience).

structured concurrent, Python parallelism

Model Agnostics breakDown plots

Resources for the O'Reilly online video "Reactive Python for Data"

A Handful of D(u)S(t)

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

vtreat is a data frame processor/conditioner that prepares real-world data for predictive modeling in a statistically sound manner. Distributed under a BSD-3-Clause license.

🌊 FluRS: A Python library for streaming recommendation algorithms

danfo.js is an open source, JavaScript library providing high performance, intuitive, and easy to use data structures for manipulating and processing structured data.

Tutoriais de Python, Data Science, Machine Learning e Deep Learning - Sigmoidal

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

Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning

fklearn: Functional Machine Learning

Turn large Web sites into tables and charts using simple SQLs.

An R-focused pipeline toolkit for reproducibility and high-performance computing

ohayo is a fast and free data science studio.

Example PyMC3 project for performing Bayesian data analysis using a probabilistic programming approach to machine learning.

Pravega is 100% open source and community-driven. All components are available under Apache 2 License on GitHub.

Series of the problem 💯 and solution ✅ asked by Daily Coding problem👨‍🎓 website.

Apache Spark & Python (pySpark) tutorials for Big Data Analysis and Machine Learning as IPython / Jupyter notebooks

Deep Recurrent Survival Analysis, an auto-regressive deep model for time-to-event data analysis with censorship handling. An implementation of our AAAI 2019 paper and a benchmark for several (Python) implemented survival analysis methods.

GitHub Action for repo2docker

A repo with tutorials for algorithms from scratch

Streaming Anomaly Detection Framework in Python (Outlier Detection for Streaming Data)

📝 Подборка ресурсов по машинному обучению

The base NIMBLE package for R

Financial Web Scraper & Sentiment Classifier

DLTK Model Zoo

Best Practices on Recommendation Systems

Julia package for automatically generating Bayesian inference algorithms through message passing on Forney-style factor graphs.

A high-level machine learning and deep learning library for the PHP language.

A community run, 5-day PyTorch Deep Learning Bootcamp

Automated Data Science and Machine Learning library to optimize workflow.

There are plenty of courses and tutorials that can help you learn machine learning from scratch but here in GitHub, I want to solve some Kaggle competitions as a comprehensive workflow with python packages. After reading, you can use this workflow to solve other real problems and use it as a template.

Automatic Item List Extraction

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.