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A comprehensive repository covering papers, codes, datasets, tutorials, and applications for transfer learning, domain adaptation, and more.
A free MLOps course that covers machine learning model deployment and monitoring
Bullet Physics SDK is a real-time collision detection and multi-physics simulation library for VR, games, robotics and more.
A Python package for deep learning on graphs, built to ease existing DL frameworks.
Suite of tools for deploying and training deep learning models using the JVM
Ivy is a Python library that simplifies converting machine learning code between frameworks like PyTorch, TensorFlow, and JAX.
A tensor library for machine learning, with a focus on large language models and automatic differentiation.
Unstructured is an open-source ETL solution for transforming complex documents into structured data for language models.
PaddleDetection is an open-source object detection toolkit based on the PaddlePaddle deep learning framework, supporting various computer vision tasks.
FinRL is a financial reinforcement learning library that helps developers build AI-driven trading agents.
A personal repository for developers to share and learn new things every day.
A Rust learning resource with challenging examples, exercises, and projects to help developers improve their skills.
This is a comprehensive course that teaches full-stack web3 development with blockchain, Solidity, and JavaScript.
A comprehensive collection of curated resources for building on Amazon Web Services (AWS).
A PDF version of the renowned MIT Deep Learning Book, a comprehensive resource for studying machine learning and neural networks.
A beginner-friendly tutorial for learning Solidity, the programming language for Ethereum smart contracts.
A comprehensive collection of 100 NumPy exercises with solutions, great for learning and practicing numerical computing in Python.
A curated list of awesome resources for competitive programming, algorithms, and data structures.
This repository is a tutorial on building an operating system from scratch using the Linux kernel and Raspberry Pi.
Dask is a Python library for parallel computing and distributed data processing, providing a scalable alternative to NumPy and Pandas.
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