Repository Index

Translated:zap: Machine Learning in Action (Python3): kNN, decision tree, Bayes, logistic regression, SVM, linear regression, tree regression

• adaboost
• logistic
• svm
• smo

Techniques for deep learning with satellite & aerial imagery

• deep-learning
• deep-neural-networks
• satellite-imagery
• pytorch

Data science interview questions and answers

• data-science
• machine-learning
• interview-questions
• data-science-interviews

A resource repository for 3D machine learning

• 3d-reconstruction
• papers
• neural-networks
• 3d

TensorFlow Tutorials with YouTube Videos

• tensorflow
• deep-learning
• machine-learning
• reinforcement-learning

A curated list of practical financial machine learning tools and applications.

• quant
• quantitative-finance
• stock-market
• finance

TensorFlow tutorials and best practices.

• tensorflow
• neural-network
• deep-learning
• machine-learning

Classical equations and diagrams in machine learning

An awesome list of awesome YouTubers that teach about technology. Tutorials about web development, computer science, machine learning, game development, cybersecurity, and more.

• awesome
• awesome-list
• list
• youtubers

TranslatedOpen-source manuscript of 《深入理解 AI Infra：量化分析与系统设计》 (In-Depth Understanding of AI Infra: Quantitative Analysis and System Design), by 李博杰 (Li Bojie): starting from hardware constraints and model architecture, it quantitatively derives the system design of LLM inference and training. Includes the full text of the book, a PDF, and companion calculation tools and experiments

• accelerator
• ai-infra
• ai-infrastructure
• book

Largest list of models for Core ML (for iOS 11+)

• coreml
• coreml-model
• apple
• machine-learning

A free, online learning platform to make quality education accessible for all.

• education
• interactive
• learning
• python

A mostly reasonable approach to CSS and Sass.

🔩 Like builtins, but boltons. 250+ constructs, recipes, and snippets which extend (and rely on nothing but) the Python standard library. Nothing like Michael Bolton.

• python
• utilities
• cache
• data-structures

A list of useful Java frameworks, libraries, software and hello worlds examples

• java-links
• java-frameworks
• awesome-list
• machine-learning

A repo containing samples tied to new functionality in each release of Google Chrome.

common data analysis and machine learning tasks using python

• data-science
• python
• python-tutorial
• data-scientists

In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.

An absolute beginner's guide to Machine Learning and Image Classification with Neural Networks

• neural-network
• image-classification
• machine-learning
• caffe

Samples for ML.NET, an open source and cross-platform machine learning framework for .NET.

• machine-learning
• algorithms
• dotnet
• csharp

:earth_americas: Simple and ready-to-use tutorials for TensorFlow

• deep-learning
• neural-network
• tensorflow
• machine-learning

Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.

• tensorflow
• machine-learning
• regression
• convolutional-neural-networks

Starting code for the GildedRose Refactoring Kata in many programming languages.

Quant/Algorithm trading resources with an emphasis on Machine Learning

• awesome
• awesome-list
• machine-learning
• deep-learning