9319 Open source projects that are alternatives of or similar to Awesome Ai Books

Multi-class confusion matrix library in Python

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

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?🔋

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

Grokking Deep Reinforcement Learning

Tutorials for Quantum Algorithms with Qiskit implementations.

📚 Computer Science Books 计算机技术类书籍 PDF

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

60_Days_RL_Challenge中文版

A list of resources in different fields of Computer Science (multiple languages)

CNN image classifier implemented in Keras Notebook 🖼️.

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

🤖 Interactive Machine Learning experiments: 🏋️models training + 🎨models demo

Study E-Book(ComputerVision DeepLearning MachineLearning Math NLP Python ReinforcementLearning)

Implementation of Reinforcement Learning algorithms in Python, based on Sutton's & Barto's Book (Ed. 2)

⚛ 10 week Practical Course on Quantum Information Science and Quantum Computing - with Qiskit and IBMQX

Companion repository to GANs in Action: Deep learning with Generative Adversarial Networks

A selection of state-of-the-art research materials on decision making and motion planning.

Exercise Solutions for Reinforcement Learning: An Introduction [2nd Edition]

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.

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

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

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.

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

A fast Evolution Strategy implementation in Python

All Algorithms implemented in R

The motive behind Creating this repo is to feel the fear of mathematics and do what ever you want to do in Machine Learning , Deep Learning and other fields of AI

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

A collection of reference machine learning and optimization models for enterprise operations: marketing, pricing, supply chain

Awesome Books

Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning

Python module for interfacing with the CQC t|ket> library of quantum software

Repository containing monthly challenges about quantum computing.

Computer code collated for use with Artificial Intelligence Engines book by JV Stone

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

AI & Deep Learning Enthusiasts Meetup Project & Study Sessions

Some notebooks

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

Neural Network built in Apple Playground using Swift

Data augmentation for NLP

lagom: A PyTorch infrastructure for rapid prototyping of reinforcement learning algorithms.

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

Deep Reinforcement Learning Framework + Algorithms

Share resources, assets and information for the math sessions 🚀

AI research environment for the Atari 2600 games 🤖.

A collection of sentences from different books.

Reinforcement Learning and Decision Making tutorials explained at an intuitive level and with Jupyter Notebooks

Debugging, monitoring and visualization for Python Machine Learning and Data Science

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.

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

A complete framework for Godot to create beautiful and complex AI motion. Works both in 2D and in 3D.

Notes for the Reinforcement Learning course by David Silver along with implementation of various algorithms.

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

Ten thousand books, six million ratings

Curated list of open-source quantum software projects.

Food Classification with Deep Learning in Keras / Tensorflow

Proximal Policy Optimization (PPO) algorithm for Super Mario Bros

Re-implementation of TensorFlow in pure python, with an emphasis on code understandability

Support content for my blog