A purely asynchronous, immediate-mode reactive TUI framework for Rust that brings web-like layout and styling ergonomics to terminal applications.

A processing pipeline for two-photon calcium imaging data that extracts large-scale neural activity through registration, ROI detection, and spike detection.

hermes‑claude‑auth is a Python runtime patch that lets the hermes‑agent use a Claude Code subscription after Anthropic added OAuth validation. It installs a .pth shim that monkey‑patches the agent’s request builder, adds the required billing header, fixes prompt layout, and implements auto‑wait for subscription‑window rate limits. The installer works on Linux/macOS and Windows, provides uninstall scripts, and includes git‑hook + cron recovery to survive hermes updates.

A Python and TensorFlow implementation of AlphaGo Zero that allows an AI to learn to play the game of Go through self-play and reinforcement learning.

A Claude Code and Codex plugin that compiles scattered markdown files and codebases into a synthesized, topic-based wiki to reduce AI agent context costs.

A Python SDK for Wit.ai that enables developers to easily integrate text and speech natural language understanding into their applications.

A Bayesian model that integrates single-cell and spatial transcriptomics to map fine-grained cell types and their abundances across tissue architecture.

A Python library for predictive uncertainty calibration and conformalization, providing rigorous uncertainty estimations for any machine learning model across various tasks.

A dimensionality reduction method that uses triplet constraints to preserve the global structure of high-dimensional data, offering a better global view than t-SNE or UMAP.

A multi-agent system for automating scientific research, specializing in paper reproduction, custom data benchmarking, and budget-constrained hyperparameter and method optimization.

A Python-based search agent that allows developers to search the web using natural language and automatically scrape content from the results, including support for JavaScript rendering.

A Go language binding for TensorFlow Lite that allows developers to run lightweight machine learning models and perform inference within Go applications.

A Python wrapper for LO-RANSAC and DEGENSAC used to estimate homography and fundamental matrices from sparse image correspondences.

An AI-native customer service platform that uses RAG and LangGraph agents to automate ticket resolution and reduce human intervention.

A stable, low-latency multi-agent search framework featuring a 5-layer hierarchical memory RAG stack that improves over time as it archives successful answers.

A Python library for semi-automated data science that automates algorithm selection and hyperparameter tuning for scikit-learn compatible pipelines.

A modular AI plugin system for Claude Code and other AI CLIs that provides domain-specific agents, skills, and rules to improve the quality of AI-generated code across various frameworks.

A collection of deep learning network implementations using the TensorRT network definition API for flexible, debuggable, and high-performance inference on NVIDIA GPUs.

A Structure from Motion library in Python that reconstructs 3D scenes and camera poses from multiple images, integrating sensor data for geographical alignment.

A lightweight C++20 interface for GPU compute via WebGPU that simplifies shader dispatch and data movement across native and browser environments.

opentwitter‑mcp is a Python MCP server that lets AI assistants fetch Twitter/X profiles, tweets, searches and real‑time follower events via a set of ready‑made tools and a WebSocket push API.

A modular PyTorch framework for Deep Reinforcement Learning that allows users to configure and run RL experiments via JSON specs across various Gymnasium environments.

An open-source co-simulation framework for Cooperative Driving Automation (CDA) that integrates CARLA and SUMO to research multi-vehicle cooperation and V2X communication.

An AI-powered software engineering platform that uses multi-agent systems and knowledge graphs to automate bug fixing, feature implementation, and codebase navigation.

A set of ComfyUI nodes that enhance image details and reduce background blur by adjusting noise schedules (sigmas) during sampling, specifically optimized for Flux and SDXL models.

A software engineering agent that solves real-world GitHub issues by combining Claude 3.7 Sonnet for execution and OpenAI o1 for solution ensembling.

A large-scale image harmonization dataset (iHarmony4) and a PyTorch implementation of DoveNet to help models make inserted objects look natural in composite images.

A Python wrapper for the WORLD Vocoder that allows for high-quality speech analysis and resynthesis by decomposing audio into pitch, spectral envelope, and aperiodicity.

A Python package for pool-based active learning that provides various query strategies and a meta-algorithm to automatically select the best strategy.

A terminal AI coding assistant with built-in Lean capabilities that allows agents to interactively write, search, and verify mathematical proofs.

An open AI application framework for cybersecurity developers to build optimized pipelines for real-time IP traffic inspection and threat detection in data centers.

A pre-built agent built on Langgraph that provides a user-friendly interface for interacting with TableGPT2 models for table-based question answering.

A library for processing sequential data that provides a unified framework for task-based datasets, preprocessing, and evaluation for sequence models.

A joint 2D-3D self-supervised pre-trained Point Transformer V3 model for extracting high-quality spatial representations from 3D point clouds.

A multi-agent framework for human-machine collaborative crisis response that combines vision-language models and reinforcement learning to ensure safety and reliability.

A transparent HTTP proxy that captures Agent-LLM traffic to provide automated grading, behavioral diagnosis, and source-code probing for AI agent evaluation.

A corpus and semantic parser that translates natural language descriptions into Linux Bash commands using TensorFlow-based translation models.

An OpenClaw plugin that integrates Oxylabs AI Studio to provide AI agents with web search and content extraction tools that bypass IP blocks and deliver LLM-ready data.

A PyTorch implementation of GANILLA, a generative adversarial network designed to translate real images into artistic illustrations.

d1 is a framework for scaling reasoning in diffusion Large Language Models using a combination of masked Supervised Fine-Tuning and a novel reinforcement learning method called diffu-GRPO.

A JavaScript/TypeScript client library that enables Node.js, Deno, and Bun applications to use the pgvector PostgreSQL extension for storing and querying vector embeddings.

A unified unsupervised image fusion network that merges multi-modal, multi-exposure, and multi-focus images into a single high-quality image without requiring labeled training data.

FaceFusion Pinokio is a face manipulation platform that allows users to swap and modify faces in images and videos with a simplified installation process via Pinokio.

A set of APIs that allow developers to easily move TensorFlow and Keras model training from local environments to distributed training and tuning on Google Cloud Platform.

A Neovim plugin that integrates the Aider AI pair programmer, enabling users to send buffers, diagnostics, and files to the AI directly from their editor.

GenSim is an LLM-powered pipeline that automatically generates robotic simulation tasks and environments to augment training data for multitask robotic policies.

A research repository implementing Canon layers for LLMs and linear models to improve architecture design and knowledge storage, including synthetic data generators and pretraining recipes.

A Python package for GFlowNets that provides a decoupled framework for prototyping algorithms, including various environments, loss functions, and sampling strategies.