Machine Learning
Showing 36 of 1479 projects
A collection of beginner-friendly TensorFlow tutorials with accompanying YouTube videos covering deep learning fundamentals and advanced topics.
Automatically extracts and selects relevant features from time series data for machine learning tasks.
A suite of specialized MCP servers that provide AI applications with access to AWS documentation, contextual guidance, and best practices.
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 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.
A high-performance gradient boosting library with best-in-class handling of categorical features and support for CPU/GPU training.
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 fast online machine learning system with advanced techniques like hashing, reductions, and contextual bandits.
A Python library for building production-ready model inference APIs, job queues, and multi-model serving systems for AI applications.
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.
WebGL-accelerated machine learning library for JavaScript with linear algebra and automatic differentiation.
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.
A lightweight, modular, and scalable deep learning framework built on the original Caffe.
An end-to-end deep learning library focused on clear code and speed, used for research and production by Google Brain.
An end-to-end deep learning library focused on clear code, speed, and research, built by Google Brain.
Code and Jupyter notebooks for the book 'Introduction to Machine Learning with Python' by Andreas Mueller and Sarah Guido.
A platform for deploying, managing, and scaling machine learning models in production on AWS infrastructure.
A comprehensive cheat sheet with classical equations and diagrams for machine learning knowledge recall and interview preparation.
A simple feed-forward neural network library for JavaScript, enabling machine learning tasks like pattern recognition and function approximation.
A self-hosted photo management service with automatic face recognition, object detection, and semantic search.
A library that enables PyTorch, Chainer, MXNet, and NumPy users to write TensorBoard events with simple function calls.
A free, open-source, self-hosted face recognition system with REST API for detection, verification, and analysis.
A curated list of resources, tools, datasets, and learning materials for Chinese Natural Language Processing.
A reinforcement learning framework for training AI agents to play Pokémon Red using PyBoy emulation.
A Python NLP library from Stanford for tokenization, sentence segmentation, NER, and dependency parsing across 60+ languages.
An open-source Python library for automated feature engineering using Deep Feature Synthesis.
An open-source Python library for automated feature engineering using Deep Feature Synthesis.
An open-source Python framework to evaluate, test, and monitor ML and LLM systems with 100+ built-in metrics.
A Python library for distributed asynchronous hyperparameter optimization over complex search spaces.
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