Showing 1401-1420 of 1,983 projects
An approximate nearest-neighbor search library for Python and Java with a focus on ease of use and simplicity.
Implementation of machine learning algorithms in pure Python code.
Lore makes machine learning approachable for software engineers and maintainable for ML researchers.
Enzyme is a high-performance automatic differentiation library for LLVM and MLIR, enabling efficient machine learning and scientific computing.
A curated collection of vector search-related libraries, services, and research papers for developers.
A Python library for extracting schema, statistics, and entities from datasets, useful for data profiling and privacy analysis.
A fast and user-friendly runtime for running transformer models like BERT, GPT-2, and others on CPU and GPU.
A simple PyTorch implementation of Generative Adversarial Networks (GANs) for vibe coders exploring AI-powered generative models.
An ESP32 camera application that captures motion, records video to SD card, and streams MJPEG to a browser.
This repository appears to be a deployment configuration for the Gla platform, which is likely a developer tool or platform focused on AI and machine learning.
A Python library for adding AI-powered image manipulation capabilities to the GIMP image editor.
A React custom hook for managing persistent state with a state machine pattern.
A deep-dive on the entire history of deep-learning, useful for developers interested in AI and machine learning.
Agile data preparation workflows made easy with popular Python data science libraries.
fklearn: A functional machine learning library for Python.
A collection of sample code for Google Cloud's Machine Learning Engine, now migrated to the Vertex AI samples repo.
A repository for a Jupyter Notebook project focused on machine learning for algorithmic trading.
A machine learning security engine that automatically prevents threats against web apps and APIs.
A comprehensive list of WebAssembly runtimes for developers interested in the future of web technologies.
A reference implementation of MLPerf inference benchmarks for machine learning performance testing.
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