Showing 3061-3080 of 4,064 projects
An educational resource for learning RNA-seq analysis including cloud computing, data formats, and visualization.
A PyTorch toolbox for domain generalization, domain adaptation and semi-supervised learning.
An open-source differentiable dense SLAM library for PyTorch, focused on 3D reconstruction and robotics.
A curated list of learning resources and GitHub profiles for developers interested in coding and open-source.
A neural network built in Apple Playground using Swift for emoji intelligence
A Python library for processing and analyzing scientific audio data, particularly for bird song detection and recognition.
A frontend canteen for vibe coders to explore and learn about various frontend technologies.
An interactive JavaScript sandbox for developers to experiment with and learn JavaScript.
A collection of big data resources for machine learning, recommendation systems, and data mining.
A curation of the latest CVPR (Computer Vision and Pattern Recognition) papers, code, and demos for AI-powered developers.
A library that provides seamless model explainability for transformers models in just 2 lines of code.
A repository with exercises for the Deep Learning textbook, focused on machine learning and AI.
A Python script that automatically updates daily Computer Vision papers from the ArXiv using GitHub Actions.
A vulnerable Android app for developers and security enthusiasts to learn about Android insecurities.
A toolbox to generate adversarial examples that fool neural networks in various ML frameworks.
A Python library for reinforcement learning, providing a simple and efficient way to implement RL algorithms.
A repository providing data science tools and examples for the Google Cloud Platform.
This repository contains Haskell 101 and 102 slides and codelabs for developers interested in learning the Haskell programming language.
Softlearning is a powerful reinforcement learning framework for training maximum entropy policies in continuous domains.
This repo maps the ecosystem of AI guidelines, principles, ethics, standards, and regulations.
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