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A curated list of the latest breakthroughs in AI by release date with a clear video explanation, link to a more in-depth article, and code

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

A Compositional Object-Based Approach to Learning Physical Dynamics

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Code for Java Deep Learning Cookbook

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Here you can get all the Quantum Machine learning Basics, Algorithms ,Study Materials ,Projects and the descriptions of the projects around the web

Complete-Life-Cycle-of-a-Data-Science-Project

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A binary release of trained deep reinforcement learning models trained in the Atari machine learning benchmark, and a software release that enables easy visualization and analysis of models, and comparison across training algorithms.

a delightful machine learning tool that allows you to train, test, and use models without writing code

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.

Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).

Multiple implementations for abstractive text summurization , using google colab

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

A Python toolkit for Reservoir Computing and Echo State Network experimentation based on pyTorch. EchoTorch is the only Python module available to easily create Deep Reservoir Computing models.

Applying Machine Learning and AI Algorithms applied to Trading for better performance and low Std.

A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers.

PyGame Learning Environment (PLE) -- Reinforcement Learning Environment in Python.

VIP cheatsheets for Stanford's CS 229 Machine Learning

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

Some awesome AI related books and pdfs for learning and downloading, also apply some playground models for learning

Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research

model-describer : Making machine learning interpretable to humans

A collection of computer vision projects for Acute Lymphoblastic Leukemia classification/early detection.

🤖 NanoNeuron is 7 simple JavaScript functions that will give you a feeling of how machines can actually "learn"

Monthly Series - Machine Learning Top 10 Open Source Projects

🦉Data Version Control | Git for Data & Models | ML Experiments Management

Courses, Articles and many more which can help beginners or professionals.

repo with challenge material for riceteacatpanda (2020)

High Fidelity Simulator for Reinforcement Learning and Robotics Research.

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GPU Javascript Library for Machine Learning

I will update this repository to learn Machine learning with python with statistics content and materials

Testbed for deep reinforcement learning

[ICMLC 2018] A Neural Network Architecture Combining Gated Recurrent Unit (GRU) and Support Vector Machine (SVM) for Intrusion Detection

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

A fast xgboost feature selection algorithm

JavaScript Digital Organisms simulator

SuSi: Python package for unsupervised, supervised and semi-supervised self-organizing maps (SOM)

Carefully curated resource links for data science in one place

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

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.

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AI research environment for the Atari 2600 games 🤖.

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