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This repository contains materials, slides, and notebooks for Andrew Ng's deeplearning.ai course on machine learning and AI.
A collection of basic Android app examples for budding Android developers to learn from.
A repository focused on natural language processing, knowledge graphs, and conversational AI research and applications.
A Rust-based learning resource for frontend developers interested in using Rust for building web applications.
An easy-to-use and high-performance AI deployment framework for developers
Open-sourced projects from the Google AI Language team focused on machine learning and natural language processing.
A PyTorch implementation of the NIPS 2017 paper on Dynamic Routing Between Capsules.
This is a JavaScript full-stack tutorial with reference source code, not an AI coding tool.
Self-learning data agent with 6-layer context grounding for autonomous data analysis and reasoning.
A powerful NLP library for transfer learning and building question answering systems.
A toolbox of models, callbacks, and datasets for AI/ML researchers using PyTorch.
An open-source project that explores the use of AI techniques in security-related tasks, including data analysis and algorithm development.
A collection of robotics environments for benchmarking multi-task and meta reinforcement learning.
A collection of open-source projects for learning software development
A deep learning-based 3D object detection library for point cloud data, useful for robotics and autonomous systems.
PyTorch implementation of Poincaré Embeddings for learning hierarchical representations.
A highly efficient and compact MobileNet-based object detection model for real-time inference on mobile devices.
A collection of novel deep learning research works using the PaddlePaddle framework for computer vision, NLP, and more.
This is a tutorial repository for learning Docker, covering topics like Docker registry, MySQL, and Redis.
A Kubernetes playground for developers to experiment with and learn the popular container orchestration system.
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