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This repository contains learning notes on quantitative investment for 35-year-old programmers.
Community-driven baseline to accelerate Intune adoption and learning for Microsoft Cloud Platform (MCP) admins.
End-to-end neural table-text understanding models for question answering and table parsing.
This repository contains the source code for the book 'The Tao of Rust Programming', a guide for learning the Rust programming language.
Implement AlphaZero/AlphaGo Zero methods for Chinese chess using Python and deep learning.
Real-time object detection library with support for 9000+ classes, suitable for AI/ML developers.
A library for learning R programming language interactively within the R environment.
A scalable Python library for data science and machine learning tasks with API compatibility and lightning-fast performance.
A heterogeneous graph neural network library for advanced graph representation learning.
A multilingual word vector library for natural language processing and machine translation tasks.
A high-performance, end-to-end deep learning-based captcha recognition model for developers.
A robotics simulation platform for training generalist robots on everyday tasks.
ChainerRL is a deep reinforcement learning library built on top of Chainer, a popular deep learning framework.
A sample app for learning clean architecture principles and patterns in C#.
Example deep learning projects that demonstrate wandb's features for AI and machine learning development.
A Python framework for building data pipelines, web crawlers, and quantitative trading applications.
A collection of pre-trained reinforcement learning agents with training and hyperparameter optimization tools.
An open-source stock trading algorithm backtesting platform for training AI models on financial data.
This is a repository for learning about the distributed system service ZooKeeper, written in Java.
A comprehensive guide to PyTorch, a popular deep learning framework for AI and machine learning development.
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