9414 Open source projects that are alternatives of or similar to Imodels

IPython widgets, interactive plots, interactive machine learning

Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries

Data augmentation for NLP

Slides, paper notes, class notes, blog posts, and research on ML 📉, statistics 📊, and AI 🤖.

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

Multi-class confusion matrix library in Python

50% faster, 50% less RAM Machine Learning. Numba rewritten Sklearn. SVD, NNMF, PCA, LinearReg, RidgeReg, Randomized, Truncated SVD/PCA, CSR Matrices all 50+% faster

Best Practices on Recommendation Systems

Jupyter notebooks from the scikit-learn video series

Fit interpretable models. Explain blackbox machine learning.

Create HTML profiling reports from pandas DataFrame objects

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

Aulas da Escola de Inteligência Artificial de São Paulo

CNN image classifier implemented in Keras Notebook 🖼️.

This repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.

An introductory series to Reinforcement Learning (RL) with comprehensive step-by-step tutorials.

Human-explainable AI.

XAI - An eXplainability toolbox for machine learning

A collection of notebooks of my Machine Learning class written in python 3

Experiment tracking for machine and deep learning projects

Machine Learning Platform for Kubernetes (MLOps tools for experimentation and automation)

Virgilio is developed and maintained by these awesome people. You can email us virgilio.datascience (at) gmail.com or join the Discord chat.

An Open Source, Self-Hosted Platform For Applied Deep Learning Development

Best Practices, code samples, and documentation for Computer Vision.

Learn to build a basic machine learning model from scratch with this repo and tutorial series.

Amacımız Türkçe NLP literatüründeki birçok farklı sorunu bir arada çözebilen, eşsiz yaklaşımlar öne süren ve literatürdeki çalışmaların eksiklerini gideren open source bir yazım destekleyicisi/denetleyicisi oluşturmak. Kullanıcıların yazdıkları metinlerdeki yazım yanlışlarını derin öğrenme yaklaşımıyla çözüp aynı zamanda metinlerde anlamsal analizi de gerçekleştirerek bu bağlamda ortaya çıkan yanlışları da fark edip düzeltebilmek.

Free Resources For Data Science created by Shubham Kumar

Awesome Artificial Intelligence, Machine Learning and Deep Learning as we learn it. Study notes and a curated list of awesome resources of such topics.

Carefully curated resource links for data science in one place

🚀 FREE AI Resources - 🎓 Courses, 👷 Jobs, 📝 Blogs, 🔬 AI Research, and many more - for everyone!

🤖⚡️ scikit-learn tips

Source material for Python Like You Mean it

[Book-2019] Pragmatic AI: An Introduction to Cloud-based Machine Learning

Caffe2 is a lightweight, modular, and scalable deep learning framework.

Using A.I. and computer vision to build a virtual personal fitness trainer. (Most Startup-Viable Hack - HackNYU2018)

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

Example PyMC3 project for performing Bayesian data analysis using a probabilistic programming approach to machine learning.

A high-level machine learning and deep learning library for the PHP language.

AI & Deep Learning Enthusiasts Meetup Project & Study Sessions

AI research environment for the Atari 2600 games 🤖.

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

R package to interface with OpenML

Continual Learning tutorials and demo running on Google Colaboratory.

👨🏽‍🏫You can learn about what data science is and why it's important in today's modern world. Are you interested in data science?🔋

Data transformations for the ML era

PyMC3 codes of Lee and Wagenmakers' Bayesian Cognitive Modeling - A Pratical Course

Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning

Data science and Machine Learning GUI programs/ desktop apps with PySimpleGUI package

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

This is Andrew NG Coursera Handwritten Notes.

A Chinese translation of Jake Vanderplas' "Python Data Science Handbook". 《Python数据科学手册》在线Jupyter notebook中文翻译

Datasets, tools, and benchmarks for representation learning of code.

📚 机器学习基石和机器学习技法作业

Allstate Kaggle Competition ML Capstone Project

Tutorials and training material for the H2O Machine Learning Platform

Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.

Machine Learning in R

General Assembly's 2015 Data Science course in Washington, DC

Dive into Machine Learning with Python Jupyter notebook and scikit-learn! First posted in 2016, maintained as of 2021. Pull requests welcome.

A hyperparameter optimization and data collection toolbox for convenient and fast prototyping of machine-learning models.