869 Open source projects that are alternatives of or similar to Heamy

A Swiss-Army Knife for Data I/O

A First-Class Interactive DataTable for Dash

💫 Industrial-strength Natural Language Processing (NLP) in Python

General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python

DataFrames for Go: For statistics, machine-learning, and data manipulation/exploration

Run code interactively, inspect data, and plot. All the power of Jupyter kernels, inside your favorite text editor.

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

This is the companion curriculum to my guide to becoming a data scientist.

mlr3: Machine Learning in R - next generation

Wikipedia tools (for Humans): easily extract data from Wikipedia, Wikidata, and other MediaWikis

Building Convolutional Neural Networks From Scratch using NumPy

Automate Data Exploration and Treatment

📈 Curated list of resources to help you get started with Data Science

A repository for the source code, notebooks, data, files, and other assets used in the data science and machine learning articles on LearnDataSci

Python module for machine learning time series:

An extension to pandas dataframes describe function.

Efficient Learning of Augmentation Policy Schedules

Biosignal Processing in Python

A curated list of resources dedicated to Feature Engineering Techniques for Machine Learning

A PyTorch reinforcement learning library for generalizable and reproducible algorithm implementations with an aim to improve accessibility in RL

This repositary is a combination of different resources lying scattered all over the internet. The reason for making such an repositary is to combine all the valuable resources in a sequential manner, so that it helps every beginners who are in a search of free and structured learning resource for Data Science. For Constant Updates Follow me in …

The best resources around Machine Learning

Drag’n’drop Pivot Tables and Charts for Jupyter/IPython Notebook, care of PivotTable.js

A Machine Learning System for Data Enrichment.

GoPlus - The Go+ language for engineering, STEM education, and data science

Slides, paper notes, class notes, blog posts, and research on ML 📉, statistics 📊, and AI 🤖.

A collection of data science and machine learning resources that I've found helpful (I only post what I've read!)

experiments with python

Auto Tune Models - A multi-tenant, multi-data system for automated machine learning (model selection and tuning).

A curated list of fraud detection papers using graph information or graph neural networks

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

📖 The Official Dash Userguide & Documentation

A curated list of references for MLOps

A library of extension and helper modules for Python's data analysis and machine learning libraries.

A simple probabilistic programming language.

阿水的数据竞赛开源分支

Framework for setting up predictive analytics services

Deep Learning Computer Vision Algorithms for Real-World Use

Alex Castrounis' curated set of resources for artificial intelligence (AI), machine learning, data science, internet of things (IoT), and more.

Code for Machine Learning for Algorithmic Trading, 2nd edition.

common data analysis and machine learning tasks using python

Probabilistic reasoning and statistical analysis in TensorFlow

[UNMAINTAINED] Automated machine learning- just give it a data file! Check out the production-ready version of this project at ClimbsRocks/auto_ml

Advanced Pandas Vault — Utilities, Functions and Snippets (by @firmai).

A system for quickly generating training data with weak supervision

A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for Machine Learning.

Data Science Best Practices with pandas

Interactive network visualization in Python and Dash, powered by Cytoscape.js

High-performance Vision library in Python. Scale your research, not boilerplate.

Leave One Feature Out Importance

All-in-one AI container for rapid prototyping

🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

apricot implements submodular optimization for the purpose of selecting subsets of massive data sets to train machine learning models quickly. See the documentation page: https://apricot-select.readthedocs.io/en/latest/index.html

Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and sensitivity analysis.

A series of Python Jupyter notebooks that help you better understand "The Elements of Statistical Learning" book

Scrape any website, article or RSS/Atom Feed with ease!

Technical specifications and guidelines for implementing Frictionless Data.

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

Một cuốn sách tương tác về học sâu có mã nguồn, toán và thảo luận. Đề cập đến nhiều framework phổ biến (TensorFlow, Pytorch & MXNet) và được sử dụng tại 175 trường Đại học.

useR! 2016 Tutorial: Machine Learning Algorithmic Deep Dive http://user2016.org/tutorials/10.html