Deep Learning for humans
📝 An awesome Data Science repository to learn and apply for real world problems.
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.
Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.
Koalas: pandas API on Apache Spark
Deep Learning Book
Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"
Datasets, tools and more from Darwinex Labs - Prop Investing Arm & Quant Team @ Darwinex
🍊 📊 💡 Orange: Interactive data analysis
Golang RServe client. Use R from Go
Real-time sentiment analysis in Python using twitter's streaming api
The data journalism platform with built in training
a delightful machine learning tool that allows you to train, test, and use models without writing code
Quickly download, clean up, and install public datasets into a database management system
Deep & Classical Reinforcement Learning + Machine Learning Examples in Python
OpenDS4All project, hosted by LF AI & Data
Python implementation of elastic-net regularized generalized linear models
Ntm One Shot Tf
One Shot Learning using Memory-Augmented Neural Networks (MANN) based on Neural Turing Machine architecture in Tensorflow
Curated list of Python resources for data science.
A convention over configuration workflow orchestrator. Develop locally (Jupyter or your favorite editor), deploy to Airflow or Kubernetes.
Analyze Data with Pandas-based Networks. Documentation:
A pure Python implementation of Apache Spark's RDD and DStream interfaces.
🍳 Recipes for the Prodigy, our fully scriptable annotation tool
Java dataframe and visualization library
Quantitative finance research tools in Python
Streamlit — The fastest way to build data apps in Python
R client for the Elasticsearch HTTP API
A package to easily open an instance of a Google spreadsheet and interact with worksheets through Pandas DataFrames.
A package that makes it trivial to create and evaluate machine learning pipeline architectures.
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.
Lecture Slides and R Sessions for Trevor Hastie and Rob Tibshinari's "Statistical Learning" Stanford course
Machine Learning (Beginners Hub), information(courses, books, cheat sheets, live sessions) related to machine learning, data science and python is available
Amazing Feature Engineering
Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself.
CardIO is a library for data science research of heart signals
Python package for creating beautiful interactive Chord Diagrams. Pro version available at https://m8.fyi/chord
AI-related tutorials. Access any of them for free → https://towardsai.net/editorial
SuperComputing 2017 Deep Learning Tutorial
Coronavirus COVID-19 (2019-nCoV) Data Repository and Dashboard for South Africa
A fast and lightweight AutoML library.
A library for debugging/inspecting machine learning classifiers and explaining their predictions
A machine learning tool for automated prediction engineering. It allows you to easily structure prediction problems and generate labels for supervised learning.
Source code and data analyses for the Sci-Hub Coverage Study
An intuitive library to extract features from time series