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

Machine learning metrics for distributed, scalable PyTorch applications.

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List of datasets to apply stats/machine learning/technology to the world of social good.

R client for the Elasticsearch HTTP API

Spying using Smartwatch and Deep Learning

Achoo uses a Raspberry Pi to predict if my son will need his inhaler on any given day using weather, pollen, and air quality data. If the prediction for a given day is above a specified threshold, the Pi will email his school nurse, and myself, notifying her that he may need preemptive treatment. Community-sourced health monitoring!

A day to day plan for this challenge. Covers both theoritical and practical aspects

Free Resources For Data Science created by Shubham Kumar

Concise deep learning for JAX

⚾🤖⚾ Automatic baseball pitching overlay in realtime

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This is a tutorial for PyTorch Geometric on the YooChoose dataset

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Federated Messaging with ZeroMQ

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数据科学竞赛知识、代码、思路

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

This repo contains logstash of various honeypots

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.

📚 Notebook storage and publishing workflows for the masses

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

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

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

The data journalism platform with built in training

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

A simple from-scratch neural net written in Go

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

Support for jupyter notebook templates in jupyterlab

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

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

NER toolkit for HTML data

The fastai book, published as Jupyter Notebooks

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

VIP cheatsheets for Stanford's CS 229 Machine Learning

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.

A Clojure dataframe library that runs on Spark

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

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

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

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.

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

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

CardIO is a library for data science research of heart signals

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A Lightweight Decision Tree Framework supporting regular algorithms: ID3, C4,5, CART, CHAID and Regression Trees; some advanced techniques: Gradient Boosting (GBDT, GBRT, GBM), Random Forest and Adaboost w/categorical features support for Python

Powerful and flexible Instagram scraping library for Python, providing easy-to-use and expressive tools for accessing data programmatically

Python, Machine Learning, Deep Learning and Data Science Books

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