Machine Learning
Showing 36 of 1845 projects
An open-source Python framework for building, training, and evaluating reinforcement learning agents for algorithmic trading.
A friendly JavaScript library that makes machine learning accessible in the browser for artists, creative coders, and students.
An open-source observability tool for Kubernetes applications that automatically collects telemetry using eBPF.
An open-source observability tool for Kubernetes applications that automatically collects telemetry using eBPF and provides in-cluster edge compute.
A curated list of awesome R packages, frameworks, and software for data science and statistical computing.
A curated list of awesome R packages, frameworks, and software for data science and statistical computing.
A high-performance automatic speech recognition toolkit from Facebook AI Research, built with fully convolutional neural networks.
A Python framework for rapid prototyping and testing of evolutionary algorithms, including genetic algorithms, genetic programming, and evolution strategies.
A Python framework for rapid prototyping and testing of evolutionary algorithms, including genetic algorithms, genetic programming, and evolution strategies.
A fast and comprehensive machine learning framework for Java, Scala, and Kotlin with state-of-the-art algorithms and data visualization.
An open-source project for developing autonomous vehicle software with datasets, models, and ROS components.
A high-performance neural network training interface for TensorFlow focused on speed, flexibility, and reproducible research.
A high-performance neural network training interface for TensorFlow, optimized for speed and research flexibility.
A curated list of awesome resources for applying LLMs and deep learning to financial market analysis and algorithmic trading.
A Python library for audio feature extraction, classification, segmentation, and machine learning applications.
A curated list of resources dedicated to recurrent neural networks (RNNs) and deep learning.
An open-source, self-hosted ML experiment tracker with a performant UI and SDK for comparing and querying training runs.
Matlab implementation of machine learning algorithms from Bishop's Pattern Recognition and Machine Learning textbook.
A curated collection of useful Java frameworks, libraries, software, and hello world examples with license and GitHub star info.
A scikit-learn compatible neural network library that wraps PyTorch
A scikit-learn compatible neural network library that wraps PyTorch
A TensorFlow implementation of YOLO for real-time object detection, supporting weight conversion, training, and mobile deployment.
An archived experiment integrating TensorFlow's machine learning capabilities directly into the Swift programming language with first-class differentiable programming.
A cross-platform .NET wrapper for OpenCV, providing image processing and computer vision functionality for .NET applications.
A cross-platform .NET wrapper for OpenCV, providing image processing and computer vision functionality for .NET applications.
A high-performance deep learning library written entirely in Swift, optimized for Apple hardware.
A collection of simple tutorials introducing deep learning concepts using Google's TensorFlow framework.
A header-only, dependency-free deep learning framework in C++14 for embedded systems and IoT devices.
A curated list of publicly available medical datasets for machine learning, covering imaging, EHRs, literature, and speech.
A Python library for programmatically building and managing training data using weak supervision.
An alphabetical list of free and public domain text datasets for Natural Language Processing (NLP) tasks.
A Python package for uplift modeling and causal inference using machine learning algorithms to estimate treatment effects.
A library for building and evaluating mathematical expressions and neural networks in Go, with automatic differentiation and GPU support.
A flexible Python deep learning framework using define-by-run dynamic computational graphs for neural network research.
A Python library for online machine learning, designed for streaming data with a focus on user experience.
A community-maintained PHP API client for interacting with OpenAI's API, including chat, audio, images, and fine-tuning.
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