1445 Open source projects that are alternatives of or similar to Stanford Cs 229 Machine Learning

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

🍰 doddle-model: machine learning in Scala.

A Portfolio of my Data Science Projects

Building the Coffee Quality Institute Database

Dash Demo App - New York Oil and Gas

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

🌎 machine learning tutorials (mainly in Python3)

Python Cheat Sheet NumPy, Matplotlib

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

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

This is a tensorflow and keras based implementation of SSRNs in the IEEE T-GRS paper "Spectral-Spatial Residual Network for Hyperspectral Image Classification: A 3-D Deep Learning Framework".

code/webpage for the DeepMapping project

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

Python Top 45 Articles of 2017

My personal reference for Tensorflow

Split-Brain Autoencoders: Unsupervised Learning by Cross-Channel Prediction. In CVPR, 2017.

Data Science Repo and blog for John Hopkins Coursera Courses. Please let me know if you have any questions.

A blog for data analytics using data science technologies

EvalML is an AutoML library written in python.

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

The Accelerator is a tool for fast and reproducible processing of large amounts of data.

This is a repository which contains all my work related Machine Learning, AI and Data Science. This includes my graduate projects, machine learning competition codes, algorithm implementations and reading material.

Julia port of the Python autograd package.

📗 A visualization of key structures in abstract algebra.

Latent space autoregression for novelty detection.

YouTube Like Count Predictions using Machine Learning

Pandas and Spark DataFrame comparison for humans

A cheatsheet for use with ACF Builder.

Template for a compact LaTeX Cheatsheet I made some years ago.

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

An embedded language for probabilistic programming and meta-programming.

Collection of Artificial Intelligence projects.

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.

Autoregressive Predictive Coding: An unsupervised autoregressive model for speech representation learning

🌟 All the cheat-sheets mentioned on my blog in pdf format

Pytorch code for our ICLR 2017 paper "Layered-Recursive GAN for image generation"

SF Brigade's Data Science Working Group.

Machine learning contest - October 2016 TLE

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

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 validation library for Pandas data frames using user-friendly schemas

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

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

Pytorch implementation of "One-Shot Unsupervised Cross Domain Translation" NIPS 2018

🐍💻📊 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.

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

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

The official PyTorch implementation of the paper "Learning by Analogy: Reliable Supervision from Transformations for Unsupervised Optical Flow Estimation".

ML made simple

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

Blockchain2graph extracts blockchain data (bitcoin) and insert them into a graph database (neo4j).

Data science and AI solution accelerator suite that provides templates for prototyping, reporting, and presenting data science analytics of specific domains

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.).

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

a curated list of R tutorials for Data Science, NLP and Machine Learning

Tensor Network Learning with PyTorch

Research Software Engineering with Python course material

Official Pytorch Implementation for ICML'19 paper: Unsupervised Deep Learning by Neighbourhood Discovery

State-of-the art Automated Machine Learning python library for Tabular Data