1423 Open source projects that are alternatives of or similar to Visualizingtwitchcommunities

Première plateforme collaborative et open source qui référence les créateurs de contenus tech francophone.

List of telegram groups, channels & bots // Список интересных групп, каналов и ботов телеграма // Список чатов для программистов

PhantomBotDE ist ein aktiv Entwickelter interaktiver Open Source Twitch Bot mit einer lebendigen Community welche Unterhaltung und Moderation für deinen Kanal bietet, dieser erlaubt dir dich auf das was wirklich zählt zu Konzentrieren - dein Spiel und deine Zuschauer.

R Weekly

🎨 Color recognition & classification & detection on webcam stream / on video / on single image using K-Nearest Neighbors (KNN) is trained with color histogram features by OpenCV.

🌎 machine learning tutorials (mainly in Python3)

Python Top 45 Articles of 2017

Pandas and Spark DataFrame comparison for humans

go irc client for twitch.tv

Python package for graph statistics

A forum application running on ASP.NET Core, available in six languages.

A Portfolio of my Data Science Projects

An open source library for Fuzzy Time Series in Python

🧰 Multi-user development platform for machine learning teams. Simple to setup within minutes.

🐍 Learn Python and Pandas from the ground up

VIP cheatsheets for Stanford's CS 221 Artificial Intelligence

Tools and Docs on the Azure Data Science Virtual Machine (http://aka.ms/dsvm)

Scraping statistics, predicting NBA player performance with neural networks and boosting algorithms, and optimising lineups for Draft Kings with genetic algorithm. Capstone Project for Machine Learning Engineer Nanodegree by Udacity.

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

Collection of Artificial Intelligence projects.

Code and helper scripts for article on Medium "How Docker Can Help You Become A More Effective Data Scientist"

整理與蒐集台灣社群活動投影片

Time Series Cross-Validation -- an extension for scikit-learn

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

The Laravel.io Community Portal.

🛠 All-in-one web-based IDE specialized for machine learning and data science.

Flexible JSON traversal for rapid prototyping.

Home assignments for data science positions

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

Training a Neural Network to Detect Gestures and Control Smart Home Devices with OpenCV in Python

Open solution to the Toxic Comment Classification Challenge

A Unified Database of NYC transport (subway, taxi/Uber, and citibike) data.

VIP cheatsheets for Stanford's CS 229 Machine Learning

EvalML is an AutoML library written in python.

🐳📊🤓Cookiecutter template to launch an awesome dockerized Data Science toolstack (incl. Jupyster, Superset, Postgres, Minio, AirFlow & API Star)

Julia port of the Python autograd package.

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.

A Python module for continuous wavelet spectral analysis. It includes a collection of routines for wavelet transform and statistical analysis via FFT algorithm. In addition, the module also includes cross-wavelet transforms, wavelet coherence tests and sample scripts.

t-Distributed Stochastic Neighbor Embedding (t-SNE) in Go

Anime2Selfie Backend Services - Lambda, Queue, API Gateway and traffic processing

Topic Modelling for Humans

The "Python Machine Learning (1st edition)" book code repository and info resource

Open Source book on Open Source Tips

Principles and Techniques of Data Science, the textbook for Data 100 at UC Berkeley

Dash Demo App - New York Oil and Gas

Research Software Engineering with Python course material

The Cutest Deep Learning Framework which is also a wonderful Declarative Language

Tutorial Sessions for SciPy Con 2019

A Clojure dataframe library that runs on Spark

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

Developer Cheatsheets

An easy-to-use interface for measuring uncertainty and robustness.

Deploy machine learning projects developed in Python, to Kubernetes. Accelerated MLOps 🚀

Comunidades Vue.js ao redor do Brasil

A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning algorithms for binary classification (random forests, gradient boosted trees, deep neural networks etc.).

An efficient Python implementation of the Apriori algorithm.

Information on joining the government community — a collaborative community for sharing best practices in furtherance of open source, open data, and open government efforts.

A New, Interactive Approach to Learning Python

The fastai book, published as Jupyter Notebooks