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

The standard package for machine learning with noisy labels, finding mislabeled data, and uncertainty quantification. Works with most datasets and models.

Hayate-Shiki is an improved merge sort algorithm with the goal of "faster than quick sort".

A Lean Persistent Homology Library for Python

A mindmap summarising Deep Learning concepts.

An unsupervised learning framework for depth and ego-motion estimation from monocular videos

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

Accelerate your ML and Data workflows to production. Flyte is a production grade orchestration system for your Data and ML workloads. It has been battle tested at Lyft, Spotify, freenome and others and truly open-source.

Experiment tracking for machine and deep learning projects

Self-Supervised Learning Toolbox and Benchmark

code/webpage for the DeepMapping project

Malware Data Science Reading Diary / Notes

A schema analyzer for MongoDB

R package to interface with OpenML

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

数据接口：百度、谷歌、头条、微博指数,宏观数据，利率数据，货币汇率，千里马、独角兽公司，新闻联播文字稿，影视票房数据，高校名单，疫情数据…

One place for all the default credentials to assist the Blue/Red teamers activities on finding devices with default password 🛡️

Road to Machine Learning

Helps you write algorithms in PyTorch that adapt to the available (CUDA) memory

PyTorch Blog Post On Image Similarity Search

Convolutional Autoencoder for Loop Closure

Python Top 45 Articles of 2017

A simple Spark-powered ETL framework that just works 🍺

The Definitive Kubectl Sheetcheat. ⭐ Give it a star if you like it. Work (always) in progress !

eBay's TSV Utilities: Command line tools for large, tabular data files. Filtering, statistics, sampling, joins and more.

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

A collection of Jupyter/IPython notebooks

Self-knowledge through numbers

A site that displays up to date COVID-19 stats, powered by fastpages.

Android library to draw beautiful and rich line charts.

A Julia package for piping a value through a series of transformation expressions using a more convenient syntax than Julia's native piping functionality.

NeuralPy: A Keras like deep learning library works on top of PyTorch

A blog for data analytics using data science technologies

数据挖掘开源书

DiffusionKinetics open-source monorepo

Projeto de análise de contratos com suspeita de superfaturamento e má qualidade na prestação de serviços.

EvalML is an AutoML library written in python.

MLBox is a powerful Automated Machine Learning python library.

List of some useful blogs, books, courses, papers etc. 📚

MARTA GANs: Unsupervised Representation Learning for Remote Sensing Image Classification

A Spark/Scala implementation of the isolation forest unsupervised outlier detection algorithm.

机器学习备忘录

Pretty cheat sheets, or ``reference cards'', obtainable from Org files.

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

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.

Keras community contributions

Data visualisation addon for Blender

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.

Data Analysis program and framework for materials science data analytics, based on the managing framework SIMPL framework.

Web CTF CheatSheet 🐈

A platform that uses real-time data to inform life-saving humanitarian responses to emergency situations

Julia port of the Python autograd package.

A PyTorch implementation of OpenAI's REPTILE algorithm

Best Practices on Recommendation Systems

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