1709 Open source projects that are alternatives of or similar to Stanford Cs 221 Artificial Intelligence

Carefully curated resource links for data science in one place

Notes, examples, and Python demos for the textbook "Machine Learning Refined" (published by Cambridge University Press).

🤖 Python application responsible for Serenata de Amor's intelligence

Create HTML profiling reports from pandas DataFrame objects

人工智能学习路线图，整理近200个实战案例与项目，免费提供配套教材，零基础入门，就业实战！包括：Python，数学，机器学习，数据分析，深度学习，计算机视觉，自然语言处理，PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-intelligence python tensorflow tensorflow2 caffe keras pytorch algorithm numpy pandas matplotlib seaborn nlp cv等热门领域

Collection of useful data science topics along with code and articles

NFStream: a Flexible Network Data Analysis Framework.

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

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

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

🧬 A JupyterLab extension for annotating data with Prodigy

The Go kernel for Jupyter notebooks and nteract.

Cryptocurrency Price Prediction Using LSTM neural network

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

Code for Machine Learning for Algorithmic Trading, 2nd edition.

This repositary is a combination of different resources lying scattered all over the internet. The reason for making such an repositary is to combine all the valuable resources in a sequential manner, so that it helps every beginners who are in a search of free and structured learning resource for Data Science. For Constant Updates Follow me in …

Rumale is a machine learning library in Ruby

Support content for my blog

💫 Industrial-strength Natural Language Processing (NLP) in Python

Multi-class confusion matrix library in Python

An open-source platform for automating tasks using machine learning models

EPFL summaries & cheatsheets over 5 years (computer science, communication systems, data science and computational neuroscience).

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

Roadmap to becoming an Artificial Intelligence Expert in 2021

🦄 The Enterprise™ programming language

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

Shōgun

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

Curso de Data Science em Português

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

Open source production model management tool for data scientists

Deep Learning Computer Vision Algorithms for Real-World Use

Alex Castrounis' curated set of resources for artificial intelligence (AI), machine learning, data science, internet of things (IoT), and more.

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

Efficient Learning of Augmentation Policy Schedules

🕵 Artificial Intelligence for social control of public administration

VIP cheatsheets for Stanford's CS 230 Deep Learning

High-performance Vision library in Python. Scale your research, not boilerplate.

A repository listing out the potential sources which will help you in preparing for a Data Science/Machine Learning interview. New resources added frequently.

📰 Brazilian government gazettes, accessible to everyone.

Automated Deep Learning without ANY human intervention. 1'st Solution for AutoDL [email protected]

Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"

PHP-ML - Machine Learning library for PHP

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

Succinct Machine Learning algorithm implementations from scratch in Python, solving real-world problems (Notebooks and Book). Examples of Logistic Regression, Linear Regression, Decision Trees, K-means clustering, Sentiment Analysis, Recommender Systems, Neural Networks and Reinforcement Learning.

Experiment tracking for machine and deep learning projects

Data augmentation for NLP

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

Data transformations for the ML era

A list of conferences connected with data worldwide.

Reinforcement Learning Cheat Sheet

Best Practices on Recommendation Systems

🐍 Quick reference guide to common patterns & functions in PySpark.

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

Gender recognition by voice and speech analysis

Datasets, tools and more from Darwinex Labs - Prop Investing Arm & Quant Team @ Darwinex

Monthly Series - Machine Learning Top 10 Open Source Projects

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

[UNMAINTAINED] Automated machine learning for analytics & production

Smart Algorithms to predict buying and selling of stocks on the basis of Mutual Funds Analysis, Stock Trends Analysis and Prediction, Portfolio Risk Factor, Stock and Finance Market News Sentiment Analysis and Selling profit ratio. Project developed as a part of NSE-FutureTech-Hackathon 2018, Mumbai. Team : Semicolon