Machine Learning
Showing 36 of 670 projects
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 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.
Matlab implementation of machine learning algorithms from Bishop's Pattern Recognition and Machine Learning textbook.
An open-source Python framework for building, training, and evaluating reinforcement learning agents for algorithmic trading.
A curated collection of useful Java frameworks, libraries, software, and hello world examples with license and GitHub star info.
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.
An open-source, self-hosted ML experiment tracker with a performant UI and SDK for comparing and querying training runs.
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.
An alphabetical list of free and public domain text datasets for Natural Language Processing (NLP) tasks.
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 Python library for programmatically building and managing training data using weak supervision.
A flexible Python deep learning framework using define-by-run dynamic computational graphs for neural network research.
A library for building and evaluating mathematical expressions and neural networks in Go, with automatic differentiation and GPU support.
A Python package for uplift modeling and causal inference using machine learning algorithms to estimate treatment effects.
A comprehensive toolset for converting, visualizing, and managing deep learning models across multiple frameworks like TensorFlow, PyTorch, and Caffe.
A curated list of awesome resources for applying LLMs and deep learning to financial market analysis and algorithmic trading.
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.
A curated collection of Python tutorials and resources for data science, machine learning, and natural language processing.
A TensorFlow implementation of a convolutional neural network for sentence classification based on Yoon Kim's paper.
A collection of TensorFlow tutorials covering basics to advanced neural network architectures with Python code and notebooks.
A fast, header-only C++ machine learning library with bindings for Python, R, Julia, and Go.
A Python library implementing state-of-the-art deep reinforcement learning algorithms with seamless Keras integration.
An open-source machine learning framework for building classical, deep, or hybrid ML applications with a focus on performance and portability.
A TensorFlow implementation of neural style transfer that transforms images by applying artistic styles from one image to another.
A privacy protection tool that adds imperceptible pixel-level changes to photos to prevent unauthorized facial recognition.
Rust language bindings for TensorFlow, providing idiomatic access to machine learning capabilities.
A fast, flexible C++ standalone library for machine learning with high-performance defaults and total internal modifiability.
A fast, flexible C++ standalone library for machine learning with high-performance defaults and total internal modifiability.
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