978 Open source projects that are alternatives of or similar to Ml Glossary

Spying using Smartwatch and Deep Learning

🎨 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.

数据科学竞赛知识、代码、思路

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

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

Python package for graph statistics

This repo contains logstash of various honeypots

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

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

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.).

📚 Notebook storage and publishing workflows for the masses

Labs for the Foundations of Applied Mathematics curriculum.

Ten Quick Tips for Deep Learning in Biology

A Portfolio of my Data Science Projects

Library to scrape and clean web pages to create massive datasets.

🌎 machine learning tutorials (mainly in Python3)

Concise deep learning for JAX

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

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

Python Top 45 Articles of 2017

An intuitive library to add plotting functionality to scikit-learn objects.

VIP cheatsheets for Stanford's CS 221 Artificial Intelligence

📚 Various cheatsheets in PDF

Pandas and Spark DataFrame comparison for humans

Extensive and accessible COVID-19 data + forecasting for counties and hospitals. 📈

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

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

🐳📊📚 Docker Images tracking the stable Galaxy releases.

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

GitHub actions for R and accompanying R package

Research Software Engineering with Python course material

Matplot++: A C++ Graphics Library for Data Visualization 📊🗾

Tutorial Sessions for SciPy Con 2019

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

Turn Python scripts into handouts with Markdown and figures

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 Pytorch Knowledge Distillation library for benchmarking and extending works in the domains of Knowledge Distillation, Pruning, and Quantization.

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

Graphing communities on Twitch.tv in a visually intuitive way

A repo for data science related questions and answers

Deep Learning Library. For education. Based on pure Numpy. Support CNN, RNN, LSTM, GRU etc.

Scalable Data Science, course sets in big data Using Apache Spark over databricks and their mathematical, statistical and computational foundations using SageMath.

Topic Modelling for Humans

🍰 doddle-model: machine learning in Scala.

Metric collection, data testing and monitoring for SQL accessible data

Building the Coffee Quality Institute Database

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

A Python 3 library making time series data mining tasks, utilizing matrix profile algorithms, accessible to everyone.

Aulas da Escola de Inteligência Artificial de São Paulo

Python Cheat Sheet NumPy, Matplotlib

🐍 Python library implementing sorted containers with state-of-the-art query performance and compressed memory usage

IPython widgets, interactive plots, interactive machine learning

An open-source tool to rapidly develop data applications with Python

Dash Demo App - New York Oil and Gas

🐍 Learn Python and Pandas from the ground up

This is Andrew NG Coursera Handwritten Notes.

Self-study plan to achieve mastery in data science

Machine learning metrics for distributed, scalable PyTorch applications.

An easy implement of VGG19 with tensorflow, which has a detailed explanation.