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A toolkit for time series machine learning and deep learning, focused on data-mining and forecasting.
This repository provides open-source code and educational resources for learning deep learning and machine learning with Python.
Demonstrations of Magenta Models, a set of open-source machine learning models for music and art generation.
An open-source library for research on communication systems, including 5G and 6G, with GPU acceleration and link-level simulation.
A curated list of resources for understanding and practicing offensive AI techniques.
A machine learning in Python with scikit-learn MOOC for developers
A curated list of awesome robotics libraries and tools for developers interested in robotics and automation.
Deploy a lightweight ML inference service with a budget-friendly setup in just a few lines of code.
A realtime serving engine for Data-Intensive Generative AI Applications built in Rust.
A curated list of articles that cover software engineering best practices for building machine learning applications.
A Python library for unsupervised time series anomaly detection, useful for data science and ML applications.
A simple PHP finite state machine library for building complex application logic.
A Python library for detecting and analyzing comparisons to ChatGPT in text, with a corpus of human-written comparisons.
An R library for using the TensorFlow machine learning framework, enabling vibe coders to build AI-powered applications.
A benchmark for measuring the performance of AI agents at machine learning engineering tasks.
Turn AI agents into composable microservices with interop & observability
All-in-one training for vision models with pretraining, fine-tuning, and distillation capabilities.
This is a Python 3 implementation of the examples from the book 'Machine Learning in Action'.
A translation of Andrew Ng's book 'Machine Learning Yearning' for developers interested in machine learning.
A state machine abstraction for building React applications with complex state management.
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