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

Machine Learning in R

🍧 A repository that contains courses I have taken on DataCamp

YouTube Like Count Predictions using Machine Learning

Actively curated list of awesome BI tools. PRs welcome!

repo for code published on pythondata.com

Deep Recurrent Survival Analysis, an auto-regressive deep model for time-to-event data analysis with censorship handling. An implementation of our AAAI 2019 paper and a benchmark for several (Python) implemented survival analysis methods.

Pandas and Spark DataFrame comparison for humans

This repository consist of cheatsheets of JS Framworks & Libraries.

Kaggle Kernel for House Prices competition https://www.kaggle.com/massquantity/all-you-need-is-pca-lb-0-11421-top-4

A printable one-page cheatsheet for TailwindCSS.

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

A visualisation tool for the creation and analysis of graphs

C# Cheatsheet

Statistical data visualization in Python

A cheatsheet for use with ACF Builder.

RSparkling: Use H2O Sparkling Water from R (Spark + R + Machine Learning)

R package for exploratory data analysis

code for unsupervised learning Neural Hidden Markov Models paper

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

Personal bookmarks and cheat sheets

Data science and Big Data with Python

Practice your skills with these ideas.

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

Exam Notes 70-535: Architecting Microsoft Azure Solutions

Unofficial implementation with pytorch DistributedDataParallel for "MoCo: Momentum Contrast for Unsupervised Visual Representation Learning"

Materials for the "AI on Kubernetes" tutorial at O'Reilly AI SF 2018

Machine learning contest - October 2016 TLE

Unsupervised Attributed Multiplex Network Embedding (AAAI 2020)

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

Material for the EPFL master course "A Network Tour of Data Science", edition 2017.

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

🎓 Jupyter notebooks from UFC data science course

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

A PyTorch implementation of OpenAI's REPTILE algorithm

Best Practices on Recommendation Systems

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

Course materials for Dartmouth Course: Storytelling with Data (PSYC 81.09).

Machine Learning and Data Analysis Coursera Specialization from Yandex and MIPT

TensorFlow implementation of Deep Graph Infomax

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

dataCompareR is an R package that allows users to compare two datasets and view a report on the similarities and differences.

Solutions to labs and excercises from An Introduction to Statistical Learning, as Jupyter Notebooks.

⛈️ Rumble 1.11.0 "Banyan Tree"🌳 for Apache Spark | Run queries on your large-scale, messy JSON-like data (JSON, text, CSV, Parquet, ROOT, AVRO, SVM...) | No install required (just a jar to download) | Declarative Machine Learning and more

🐍💻📊 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)

Example workflows for the drake R package

Dash Demo App - Stock Tickers

Data Science & Machine Learning projects and tutorials in python from beginner to advanced level.

Flexible JSON traversal for rapid prototyping.

MRI analysis using PyTorch and MedicalTorch

When Apache Pulsar meets Apache Spark

ML made simple

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

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

e3d-lstm; Eidetic 3D LSTM A Model for Video Prediction and Beyond

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 300 universities from 55 countries including Stanford, MIT, Harvard, and Cambridge.

Resources for the O'Reilly online video "Reactive Python for Data"

Griffon Data Science Virtual Machine

Human Activity Recognition (HAR) with 1D Convolutional Neural Network in Python and Keras

Best transfer learning and domain adaptation resources (papers, tutorials, datasets, etc.)

Labs for the Foundations of Applied Mathematics curriculum.