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

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.

Artificial Learning, Intelligent Machines

📚 Notebook storage and publishing workflows for the masses

Accelerate data science

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

DiffusionKinetics open-source monorepo

Structured Adaptive Mesh Refinement Application Infrastructure - a scalable C++ framework for block-structured AMR application development

Learn to Build a Machine Learning Application from Top Articles

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

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

🍕 Repositório para juntar informações sobre materiais de estudo em análise de dados e áreas afins, empresas que trabalham com dados e dicionário de conceitos

📊 📋 Dashboards using YAML or JSON files

The data journalism platform with built in training

This repository is my attempt to help Data Science aspirants gain necessary Data Visualization skills required to progress in their career. It includes all the types of plot offered by Seaborn, applied on random datasets.

A sparsity aware implementation of "Deep Autoencoder-like Nonnegative Matrix Factorization for Community Detection" (CIKM 2018).

🌊 Online machine learning in Python

A simple from-scratch neural net written in Go

Lending Club Loan data analysis

A toil-free multi-tenancy machine learning platform in your Kubernetes cluster

Visualize and compare datasets, target values and associations, with one line of code.

Support for jupyter notebook templates in jupyterlab

R package for exploratory data analysis

GitHub actions for R and accompanying R package

Data science and Big Data with Python

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

BlazingSQL is a lightweight, GPU accelerated, SQL engine for Python. Built on RAPIDS cuDF.

A sign language interpreter using live video feed from the camera.

R on Apache Spark (SparkR) tutorials for Big Data analysis and Machine Learning as IPython / Jupyter notebooks

NER toolkit for HTML data

Explore and analyse your Home Assistant data

The fastai book, published as Jupyter Notebooks

🐍 Quick reference guide to common patterns & functions in PySpark.

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

scikit-learn: machine learning in Python

VIP cheatsheets for Stanford's CS 229 Machine Learning

An open-source NLP research library, built on PyTorch.

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.

Roadmap to becoming an Artificial Intelligence Expert in 2021

A Clojure dataframe library that runs on Spark

🦄 The Enterprise™ programming language

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

Supervised domain-agnostic prediction framework for probabilistic modelling

Python library for identifying the peaks and valleys of a time series.

Artificial Neural Networks for Scala

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

Yet another black-box optimization library for Python

BatchFlow helps you conveniently work with random or sequential batches of your data and define data processing and machine learning workflows even for datasets that do not fit into memory.

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

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

DLTK Model Zoo

Powerful financial charting library based on R's Quantmod | http://py-quantmod.readthedocs.io/en/latest/

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

CardIO is a library for data science research of heart signals

A validation library for Pandas data frames using user-friendly schemas

Computator.NET is a special kind of numerical software that is fast and easy to use but not worse than others feature-wise. It's features include: - Real and complex functions charts - Real and complex calculator - Real functions numerical calculations including different methods - Over 107 Elementary functions - Over 141 Special functions - Over 21 Matrix functions and operations - Scripting language with power to easy computations including matrices - You can declare your own custom functions with scripting language

Data Science algorithms for Qlik implemented as a Python Server Side Extension (SSE).

🐍💻📊 All material from the PyCon.DE 2018 Talk "Beyond Jupyter Notebooks - Building your own data science platform with Python & Docker" (incl. Slides, Video, Udemy MOOC & other References)

Flexible JSON traversal for rapid prototyping.

Gender recognition by voice and speech analysis

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