885 Open source projects that are alternatives of or similar to Dirty_cat

Fill missing values in Pandas DataFrames using Restricted Boltzmann Machines

🚚 Agile Data Preparation Workflows made easy with dask, cudf, dask_cudf and pyspark

📢 Ready to learn or review your knowledge!

Jupyter notebook and datasets from the pandas Q&A video series

simple tools for data cleaning in R

General Assembly's 2015 Data Science course in Washington, DC

Easy to use Python library of customized functions for cleaning and analyzing data.

Real-time sentiment analysis in Python using twitter's streaming api

A Machine Learning System for Data Enrichment.

Deep & Classical Reinforcement Learning + Machine Learning Examples in Python

Plotly Graphing Library for MATLAB®

Golang RServe client. Use R from Go

A toolbox of simple solutions for common data cleaning problems.

a delightful machine learning tool that allows you to train, test, and use models without writing code

🤖 A machine learning framework for audio, text, image, video, or .CSV files (50+ featurizers and 15+ model trainers).

Python implementation of elastic-net regularized generalized linear models

Some of the projects i made when starting to learn R for Data Science at the university

An Open Source, Self-Hosted Platform For Applied Deep Learning Development

Curated list of Python resources for data science.

Data Cleaning with OpenRefine for Ecologists

📝 An awesome Data Science repository to learn and apply for real world problems.

Analyze Data with Pandas-based Networks. Documentation:

A pure Python implementation of Apache Spark's RDD and DStream interfaces.

Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.

NER toolkit for HTML data

Applying Data Science and Machine Learning to Solve Real World Business Problems

🍊 📊 💡 Orange: Interactive data analysis

Exemplary, annotated machine learning pipeline for any tabular data problem.

Gender recognition by voice and speech analysis

Neural Machine Translation on the Nepali-English language pair

The data journalism platform with built in training

This is a project based on the FIFA World Cup 2019 and Analyzes the Performance and Efficiency of Teams, Players, Countries and other related things using Data Analysis and Data Visualizations

Quickly download, clean up, and install public datasets into a database management system

Distributed scikit-learn meta-estimators in PySpark

OpenDS4All project, hosted by LF AI & Data

🚚 Agile Data Preparation Workflows made easy with Pandas, Dask, cuDF, Dask-cuDF, Vaex and PySpark

One Shot Learning using Memory-Augmented Neural Networks (MANN) based on Neural Turing Machine architecture in Tensorflow

Foofah: programming-by-example data transformation program synthesizer

Ranking, acceptance rate, deadline, and publication tips

Deep Learning for humans

A convention over configuration workflow orchestrator. Develop locally (Jupyter or your favorite editor), deploy to Airflow or Kubernetes.

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

Free Resources For Data Science created by Shubham Kumar

An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.

🍳 Recipes for the Prodigy, our fully scriptable annotation tool

🚕 A spreadsheet-like data preparation web app that works over Optimus (Pandas, Dask, cuDF, Dask-cuDF, Spark and Vaex)

Java dataframe and visualization library

Koalas: pandas API on Apache Spark

A Code-First Introduction to NLP course

Exercise solutions to "R for Data Science"

Repository for the projects needed to complete the Data Analyst Nanodegree.

Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"

[tutorial]A functional, Data Science focused introduction to Python

Quantitative finance research tools in Python

All the slides, accompanying code and exercises all stored in this repo. 🎈

Analytical Web Apps for Python, R, Julia, and Jupyter. No JavaScript Required.

Streamlit — The fastest way to build data apps in Python

Find and replace erroneous fields in data using validation rules

Stock for Deep Learning and Machine Learning

R client for the Elasticsearch HTTP API