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An open-source framework for machine learning and computations on decentralized data.
A multi-robot simulator for autonomous vehicles, focused on AI and machine learning development.
A large-scale pretrained dialogue model for building conversational AI applications.
A TypeScript library for building interactive diagrams and visualizations on the web.
Evaluate is a library for easily evaluating machine learning models and datasets.
100-day machine learning curriculum with hands-on projects and Jupyter notebooks for learning ML fundamentals.
A collection of data science related questions and answers for developers.
Hamilton is an open-source ETL framework that helps data scientists and engineers build modular, testable dataflows with lineage and metadata.
CodeSearchNet provides datasets, tools, and benchmarks for representation learning of code, enabling AI-powered code discovery.
A deep matching model library for building recommendation and advertising systems using AI tools.
A free online course teaching advanced NLP with spaCy
Provides machine learning metrics for distributed, scalable PyTorch applications.
A curated collection of Turkish deep learning and machine learning resources for developers.
Bare-bones examples of machine learning in TensorFlow for developers working with AI tools.
Deep Learning toolkit for Computer Vision with advanced object detection and recognition capabilities.
A lightweight React hook that implements a state machine pattern for managing complex state in React applications.
A specialized Python framework for generating high-quality structured tabular data for AI and ML applications.
A low code Machine Learning personalized ranking service for articles, listings, search results, recommendations.
High-performance machine learning algorithms with 2-2000x speed and 50% less memory usage for all hardware.
This repository contains source code for a book on machine learning, not a vibe coder developer tool.
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