1047 Open source projects that are alternatives of or similar to Roger

Free Resources For Data Science created by Shubham Kumar

⚾🤖⚾ Automatic baseball pitching overlay in realtime

Full Stack Data Science in Python

This is a tutorial for PyTorch Geometric on the YooChoose dataset

OpenDS4All project, hosted by LF AI & Data

Categorical Query Language IDE

A package that makes it trivial to create and evaluate machine learning pipeline architectures.

A desktop application for viewing and analyzing tabular data

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

SUNDIALS is a SUite of Nonlinear and DIfferential/ALgebraic equation Solvers. This is a mirror of current releases, and development will move here eventually. Pull requests are welcome for bug fixes and minor changes.

Lecture Slides and R Sessions for Trevor Hastie and Rob Tibshinari's "Statistical Learning" Stanford course

Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).

The data journalism platform with built in training

A simple from-scratch neural net written in Go

Support for jupyter notebook templates in jupyterlab

Python notebooks with ML and deep learning examples with Azure Machine Learning Python SDK | Microsoft

NER toolkit for HTML data

PLynx is a domain agnostic platform for managing reproducible experiments and data-oriented workflows.

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.

Speedml is a Python package to speed start machine learning projects.

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

Python package for numerical derivatives and partial differential equations in any number of dimensions.

CardIO is a library for data science research of heart signals

Data analysis library for JavaScript built with Ramda

A garden for scikit-learn compatible trees

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AI-related tutorials. Access any of them for free → https://towardsai.net/editorial

Scientific computing with N-dimensional arrays

A linear algebra library written in Rust

Tools for loading standard data sets in machine learning

SuperComputing 2017 Deep Learning Tutorial

Word Embeddings for Information Retrieval

💎 Feel++: Finite Element Embedded Language and Library in C++

The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.

OpenQuake's Engine for Seismic Hazard and Risk Analysis

Visualizer for pandas data structures

Ranking, acceptance rate, deadline, and publication tips

Complete machine learning model codes

A fast and lightweight AutoML library.

Exercise solutions to "R for Data Science"

An intuitive library to extract features from time series

This is Andrew NG Coursera Handwritten Notes.

A cleaner way to build neural networks for PyTorch.

A library for debugging/inspecting machine learning classifiers and explaining their predictions

An awesome list of events and fellowship opportunities for Computer Science students

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

Kotlin API for Lets-Plot - an open-source plotting library for statistical data.

Source code and data analyses for the Sci-Hub Coverage Study

Machine learning glossary

Quantitative finance research tools in Python

🐳📊📚 Docker Images tracking the stable Galaxy releases.

A collection of Jupyter Notebooks for learning Python for Data Science.

Self-study plan to achieve mastery in data science

Ten Quick Tips for Deep Learning in Biology

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

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

Advanced High Performance Data Science Toolbox for R by Laurae

A curated list of awesome machine learning interpretability resources.

Metric collection, data testing and monitoring for SQL accessible data

Streamlit — The fastest way to build data apps in Python