An end-to-end multimodal model for real-time spoken dialogue that supports direct audio understanding and personalized voice cloning.

A Minecraft Fabric mod that uses fal.ai to generate 3D structures and live AI video broadcasts directly within the game world from text prompts.

A minimal, typed JavaScript bridge that gives AI agents direct access to every Chrome DevTools Protocol method without restrictive helper functions.

A modular Python library for Deep Reinforcement Learning that provides implementations of algorithms like DDPG and Double Q-learning.

A PyTorch implementation of autoregressive image generation that eliminates the need for vector quantization by using a diffusion-based approach.

A full-stack AI framework built entirely in Java that provides a complete pipeline from low-level tensor computation to LLMs, AI agents, and embodied intelligence.

A real-time RGB-D inertial odometry system designed for resource-constrained robots to maintain accurate localization in dynamic environments by filtering out moving objects.

A Spring Boot starter that provides a complete AI agent framework featuring RAG, MCP tool integration, a skill market, and an admin console for enterprise-grade agent deployment.

An MCP server that enables LLMs to control iOS simulators through natural language commands for app management and UI testing.

A collection of Unity ML-Agents experiments for training reinforcement learning agents in vehicle control, hovering, and aerial ball handling.

A near-lossless 3D voxel representation system that replaces SDF and Marching Cubes with Faithful Contour Tokens (FCTs) to preserve sharp edges and internal structures.

Colette is a self‑hosted RAG platform that indexes PDFs as images, preserving tables, figures and layout. It combines vision embeddings, BM25 lexical search, and optional HyDE prompting, and runs on high‑end GPUs via Docker. Ideal for confidential technical documentation.

A software development kit that brings Google's cross-platform ARCore features, including Cloud Anchors and Geospatial APIs, to iOS applications.

A TensorFlow-based framework for handwritten text recognition and synthesis, featuring extensive data augmentation and support for multiple standard HTR datasets.

Tetrees Agent EX is a Node.js SDK/CLI that lets developers search, quote, run, extend, and publish AI Packs on the Tetrees EX marketplace via the public MCP contract. It provides example scripts for buyer, builder, and seller flows, and keeps all credentials local.

A resumable indexer that aggregates Polymarket market metadata and on-chain trade data into a queryable DuckDB database.

A hierarchical generative network and library for creating and animating vector graphics (SVG) using deep learning and differentiable tensors.

OmniVCus is a feedforward subject-driven video customization framework that uses a diffusion Transformer to generate videos of specific subjects under multimodal control conditions like depth and masks.

A fast framework for fine-tuning similarity learning models to specialize pre-trained models for semantic search, recommendations, and anomaly detection.

A PyTorch and Hugging Face native toolkit for the reproducible training and evaluation of imitation learning policies for robotic desktop manipulation.

A C++ framework for 3D reconstruction from images (photogrammetry) that provides libraries and pipelines for solving the Structure from Motion problem.

A Diffusion Transformer framework for joint audio-video generation that ensures semantic and temporal alignment between sound and visuals from text prompts.

A single-stage image-to-3D generation and reconstruction framework that integrates Gaussian Splatting into a diffusion denoiser for fast, scalable 3D creation.

A Python utility that reconstructs one audio source using the most spectrally similar frames from another audio or video source.

A Python module for the parallel optimization of expensive black-box functions, designed to find global minima for tasks like hyperparameter tuning.

UQpy is a general purpose Python toolbox for modeling and quantifying uncertainty in physical and mathematical systems.

A Python toolbox for optimization on Riemannian manifolds that supports automatic differentiation for non-Euclidean geometric optimization.

A library for creating easy, chainable preprocessing pipelines for pandas DataFrames to streamline data cleaning and feature engineering.

A video inpainting tool that automatically detects and erases fixed-pattern content like subtitles and logos from videos.

A Java-based foundational utility package for NLP projects providing tools for text normalization, Chinese character conversion, and text similarity calculations.

A web application for browsing, searching, and exporting chat histories and Composer logs from the Cursor AI editor.

A lightweight C++ wrapper for OpenCL that reduces boilerplate code and the complexity of device selection, memory management, and kernel execution.

A collection of software tools for molecular dynamics simulations that integrates various interatomic potentials and tight-binding quantum mechanics, including machine-learning-based GAP potentials.

A tool for visualizing and exploring unstructured text and image datasets by embedding them into latent spaces, projecting them to 2D, and using LLMs to label clusters.

A Python API for interacting with the Argoverse dataset, providing tools to load HD maps, 3D tracking data, and motion forecasting sequences for autonomous driving research.

An AutoML framework that uses a declarative JSON-AI syntax to automatically generate and customize machine learning pipelines, reducing boilerplate code for data preparation and data science workflows.

A communication framework built on NCCL that allows users to execute custom, hyper-optimized collective communication algorithms for multiple accelerators to improve distributed AI performance.

A Go-based toolkit for automatically fixing malformed JSON output generated by LLMs, ensuring it becomes valid and parseable.

A PyTorch-based library for uncertainty quantification that provides scalable tools for Bayesian learning, including variational inference and Laplace approximation.

An enhancement suite and sidecar for grok2api that monitors proxy node quality and intercepts low-quality responses to prevent AI intelligence degradation.

An immersive RPG extension for SillyTavern that automatically tracks character stats, scene information, and internal thoughts in a customizable UI panel.

A CLI tool that enables AI agents to build and publish Flutter iOS apps on remote Macs, eliminating the need for local Mac hardware or iOS ecosystem expertise.

A solution accelerator for deploying a private, secure AI chat tenant in an Azure subscription using Azure OpenAI Service, featuring data integration and enterprise-grade security.

VHAP is a photometric optimization pipeline for human head alignment that uses adaptive appearance priors to track regions without landmarks, such as hair and ears, in monocular and multi-view videos.

A Rust library for approximate nearest neighbor search that uses LMDB for low-memory, memory-mapped vector indexing and retrieval.

A framework for privately fine-tuning, evaluating, and running open-source LLMs using efficiency techniques like LoRA and INT4/INT8 quantization.

GigaModels is an open‑source Python toolbox that wraps dozens of pre‑trained vision, diffusion and multimodal models (e.g., Grounding DINO, Depth Anything, GigaBrain‑0, Pi0, Cosmos‑Predict2.5) behind a unified `load_pipeline` API. It supports both inference and training, offers ready‑to‑run scripts, and is installable via conda + pip.

GigaTrain is a scalable training framework that streamlines the development of large AI models by automating distributed training, logging, and checkpointing.