A collection of tutorials and examples for Amazon Braket, enabling users to build, test, and run quantum circuits on simulators and quantum hardware.

A Telegram bot that identifies anime titles, episodes, and timestamps from screenshots or videos using the trace.moe service.

A device-independent interface for speech synthesis that provides a unified API for accessing multiple text-to-speech engines.

A machine learning system for stock prediction that uses over 600 technical indicators and multiple model architectures to provide real-time buy, sell, or hold alerts.

An intelligent Kubernetes resource optimization tool that analyzes workload metrics to provide right-sizing recommendations for CPU, memory, and GPU resources.

A high-performance Julia library for solving systems of nonlinear equations using a unified API and advanced root-finding algorithms.

skrub is a Python library that supplies dataframe‑focused cleaning, encoding, and similarity‑grouping tools, all wrapped as scikit‑learn‑compatible transformers, to streamline the preprocessing stage of tabular machine‑learning pipelines.

An open-source eye tracking platform that provides the software infrastructure for capturing, playing back, and analyzing eye-tracking data.

A Java toolkit for computing similarity scores between words, phrases, sentences, and paragraphs, featuring sentiment analysis and Word2vec-based synonym discovery.

A GUI shell for multiple AI image upscaling tools like waifu2x, Real-CUGAN, and Real-ESRGAN, providing a drag-and-drop interface for image enhancement.

A batch processing extension for ComfyUI that automates parameter testing and model comparison across image, video, and audio generation workflows.

A high-performance C/C++ image processing and machine learning library that uses SIMD CPU extensions to accelerate algorithms across x86, ARM, and Hexagon architectures.

A SQL query engine that allows users to run SQL queries across files, databases, and third-party apps, and provides a standardized interface for LLMs to access this data.

Gollama is a Go‑based terminal UI for listing, inspecting, editing, running, copying, deleting and pushing Ollama LLM models, with hot‑key navigation, vRAM estimation, configurable JSON settings, and theme support.

A programming interface for NVIDIA CUDA GPUs in Julia, featuring a compiler for writing kernels in Julia and wrappers for various CUDA libraries.

A web application that uses an AI agent to analyze Twitter/X handles and recent posts to create personalized personality profiles and compatibility checks.

A Python codebase implementing MLOps best practices and a professional toolchain to support the development of model registries, experiment tracking, and inference platforms.

A floating dev-menu toolkit for React Native and Flutter that integrates debugging tools directly into the app and provides an MCP server for AI agents to interact with the live runtime.

A real-time cyberattack detection system that uses AI and Flink-based pipelines to process streaming events and apply Sigma rules in-flight, drastically reducing detection latency.

An optimizing path planner for ROS that uses sequential convex optimization to solve motion planning problems while satisfying constraints and avoiding collisions.

A PyTorch-based toolbox for conformal prediction in deep learning, providing guaranteed uncertainty quantification for classification, regression, GNNs, and LLMs.

A cross-platform personal GUI assistant that automates tasks on desktop, Android, iOS, and HarmonyOS using a self-evolving memory and skill system.

A machine learning package that optimizes Fantasy Premier League teams by predicting player points and automating transfer strategies.

PyReason is an explainable graphical inference tool that uses logical rules and facts to reason over graph structures using temporal and real-valued logic.

A client that connects AI servers to Model Context Protocol (MCP) servers, enabling AI agents to access external tools and data sources.

A persistent memory system for Cursor AI agents that uses always-on rules and Markdown files to track project state and goals across sessions.

Docling Parse is a fast, configurable PDF‑parsing library (Python API with a C++ core) that extracts text, words, lines, vector shapes and bitmap images together with their coordinates. It supports both sequential and multi‑threaded parsing, lets you choose what to compute or materialize per page, and includes rendering utilities. Ideal for AI workflows that need layout‑aware document data.

A Python interface for openSMILE that enables the extraction of standardized audio features for machine learning research.

A toolkit for decrypting and analyzing the safety filters and guardrails used by Apple Intelligence generative models to reveal how content is filtered across different regions.

ELSED is a high-speed line segment detector designed for resource-limited devices like drones and smartphones.

A lexicon for the Sudachi Japanese tokenizer that provides various dictionary sizes for accurate word segmentation and morphological analysis.

A Python library for fast approximate nearest neighbor search using the Nearest Neighbor Descent algorithm, supporting a wide range of distance metrics.

An open-source Python toolkit and MCP server for reproducible product analytics on clickstream and event log data, enabling deep behavioral analysis of user journeys.

An open-source library of standardized SKILL.md playbooks that provide AI agents with curated, production-ready workflows across 23 different categories.

A stand-alone implementation of NumPy dtype extensions for machine learning, providing support for bfloat16, 8-bit floats, and narrow integers.

The Brain Modeling Toolkit (BMTK) is an open-source software suite for building, simulating, and analyzing large-scale brain networks across multiple levels of resolution.

A PyTorch implementation of the SLAYER framework for training multilayer spiking neural networks using backpropagation to learn synaptic weights and axonal delays.

A transparent cognitive sandbox and digital pet simulation that allows users to learn neuroscience by raising a neural network they can see and trace in real time.

A JavaScript neural network library for Node.js and the browser that allows the creation and training of flexible, architecture-free neural networks.

A web application for collecting speech donations to create public domain datasets for training voice recognition-related tools.

A multi-agent system that coordinates specialized AI agents to generate professional deliverables like slide decks, research reports, and videos from a single terminal prompt.

A tool to convert TensorFlow, Keras, TensorFlow.js, and TFLite models to the ONNX format for cross-platform compatibility and deployment.

A lightweight core library providing essential shared functionality and utilities for computer vision frameworks developed by FAIR.

A deep learning framework that accelerates distributed DNN training by automatically searching for the most efficient parallelization strategies.

An open-source MCP server and browser extension that lets AI models control your browser using your existing logged-in accounts and session data.

MLJ is a machine learning toolbox for Julia that provides a common interface and meta-algorithms for selecting, tuning, and comparing over 200 machine learning models.

A Latent Diffusion Transformer for high-quality video generation, supporting both text-to-video and text-to-image tasks.

A source-to-source compiler for PyTorch that optimizes models for training and inference through a Pythonic intermediate representation and extensible transformation plugins.