Machine Learning
Showing 36 of 1845 projects
An engine-agnostic deep learning framework for Java developers, providing a high-level API for model training and inference.
A machine learning library designed for human interpretability, featuring debuggable models and a feature transform language.
A curated collection of graph classification papers with implementations covering embeddings, deep learning, kernels, and factorization.
A curated collection of graph classification papers with reference implementations covering embedding, deep learning, kernels, and factorization.
A modular container build system providing the latest AI/ML packages for NVIDIA Jetson and JetPack-L4T.
A high-level library for training and evaluating neural networks in PyTorch with a flexible engine and event system.
An MLOps framework to package, deploy, monitor, and manage thousands of production machine learning models on Kubernetes.
A Java client library for OpenAI's GPT APIs, including GPT-3, ChatGPT, and GPT-4.
A comprehensive Rust machine learning framework focused on preprocessing and classical algorithms, akin to scikit-learn.
A collection of infrastructure and tools for research in neural network interpretability and visualization.
A collection of samples demonstrating how to use ML.NET for various machine learning tasks in .NET applications.
A JAX implementation of OpenAI's Whisper model offering up to 70x faster transcription on TPUs.
An open-source augmented analytics platform that automates exploratory data analysis and visualization with AI-powered insights.
A curated collection of Python libraries, tutorials, and tools for data science, from data wrangling to machine learning and visualization.
A fast and simple OCR library written in Swift, optimized for recognizing short alphanumeric codes like gift cards.
Fast and simple OCR library for iOS/macOS using neural networks, optimized for short alphanumeric codes.
A comprehensive .NET framework for machine learning, computer vision, statistics, and scientific computing.
A unified, comprehensive, and efficient Python/PyTorch library for reproducing and developing recommendation algorithms.
:earth_americas: Simple and ready-to-use tutorials for TensorFlow
A Python library using machine learning for accurate and scalable fuzzy matching, record deduplication, and entity resolution on structured data.
Official code repository for the 'Machine Learning with TensorFlow' book with practical examples.
A library for probabilistic reasoning and statistical analysis integrated with TensorFlow and JAX.
A suite of visual diagnostic tools that extend scikit-learn to steer machine learning model selection through visualizations.
An open-source library for training and deploying deep learning recommendation models with sparse data at scale using multi-GPU support.
A command-line utility for querying and monitoring NVIDIA GPU status with a human-readable output.
A large-scale dataset of images with object segmentation, bounding boxes, and visual relationship annotations.
Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.
A free course teaching diffusion models theory and hands-on implementation using Hugging Face's Diffusers library.
An open-source LLMOps platform for prompt management, evaluation, and observability to build reliable LLM applications faster.
An AI experimentation platform built on Minecraft for training and researching intelligent agents in complex 3D environments.
A modular quantitative finance framework for data collection, analysis, strategy backtesting, and machine learning across multiple markets.
A fast, single-file similarity search and clustering engine for vectors and arbitrary objects with multi-language bindings.
A Python library offering scalable and user-friendly implementations of state-of-the-art neural forecasting models.
A comprehensive collection of tutorials, examples, and resources for understanding and solving machine learning and pattern classification problems.
An open-source CLI tool for implementing CI/CD workflows with a focus on MLOps, automating ML experiments and reporting.
A web application for training deep learning models with a focus on computer vision tasks.
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