Machine Learning
Showing 36 of 1845 projects
A unified Python framework for machine learning with time series, offering scikit-learn compatible tools for forecasting, classification, clustering, and more.
An open-source, low-code Python library that automates end-to-end machine learning workflows.
A modular deep learning library providing a higher-level API for TensorFlow to speed up experimentation.
A Python library for flexible and readable tensor operations across numpy, PyTorch, JAX, TensorFlow, and other frameworks.
A suite of specialized MCP servers that provide AI applications with access to AWS documentation, contextual guidance, and best practices.
A Python library for user-friendly forecasting and anomaly detection on time series, from ARIMA to deep neural networks.
A comprehensive collection of machine learning and deep learning models, trading agents, and simulations for stock market forecasting.
A batteries-included machine learning library for Go with a scikit-learn inspired interface.
An open-source, cross-platform machine learning framework for .NET developers to build, train, and deploy custom ML models.
An AutoML library for deep learning that automates model selection and hyperparameter tuning using Keras and TensorFlow.
Automatically extracts and selects relevant features from time series data for machine learning tasks.
A collection of beginner-friendly TensorFlow tutorials with accompanying YouTube videos covering deep learning fundamentals and advanced topics.
A scientific computing framework with wide support for machine learning algorithms, built around multi-dimensional tensor operations.
An open-source RSS reader and podcast app with a beautiful UI, personalized recommendations, and integrated search.
A high-performance gradient boosting library with best-in-class handling of categorical features and support for CPU/GPU training.
A flexible, scalable deep probabilistic programming library built on PyTorch for universal probabilistic modeling.
A flexible, scalable deep probabilistic programming library built on PyTorch for universal representation of computable probability distributions.
An interactive visualization system for learning how Convolutional Neural Networks work through hands-on exploration.
A JavaScript library for client-side NSFW image detection using TensorFlow.js.
A Python web mining module with tools for scraping, NLP, machine learning, network analysis, and visualization.
A Python library for building production-ready model inference APIs, job queues, and multi-model serving systems for AI applications.
A fast online machine learning system with advanced techniques like hashing, reductions, and contextual bandits.
A Python package for constrained global optimization using Bayesian inference and Gaussian processes.
A comprehensive guide to TensorFlow 2.x covering fundamentals, best practices, and advanced topics for efficient machine learning development.
A high-performance Python DataFrame library for lazy out-of-core processing and visualization of billion-row datasets at interactive speeds.
A collection of ready-to-run Docker images containing Jupyter applications and interactive computing tools.
A collection of ready-to-run Docker images containing Jupyter applications and interactive computing tools.
WebGL-accelerated machine learning library for JavaScript with linear algebra and automatic differentiation.
A lightweight, modular, and scalable deep learning framework built on the original Caffe.
An end-to-end deep learning library focused on clear code, speed, and research, built by Google Brain.
An end-to-end deep learning library focused on clear code and speed, used for research and production by Google Brain.
A free, open-source, self-hosted face recognition system with REST API for detection, verification, and analysis.
Code and Jupyter notebooks for the book 'Introduction to Machine Learning with Python' by Andreas Mueller and Sarah Guido.
A comprehensive cheat sheet with classical equations and diagrams for machine learning knowledge recall and interview preparation.
A Rust library for building scalable, modular, and ergonomic LLM-powered applications.
A platform for deploying, managing, and scaling machine learning models in production on AWS infrastructure.
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