A PyTorch‑compatible library that aggregates 100+ research optimizers, several LR schedulers and loss functions behind a single, consistent API, with optional integrations for low‑precision training.

An inspectable, correction-aware memory system for AI agents that provides durable context across sessions without coupling to a specific model or framework.

A ComfyUI extension that lets you control complex AI image generation workflows (like LoRA loading, prompt scheduling, and regional prompting) using simple text prompts instead of manually wiring dozens of nodes.

A library for large-scale and reproducible hyperparameter optimization (HPO) that supports distributed execution and state-of-the-art tuning methods.

A Streamlit-based vision studio for real-time object detection, segmentation, pose estimation, and tracking using YOLO26 and YOLO World v2.

OmniCustom is a joint audio-video generation framework that creates synchronized videos preserving a specific visual identity and voice timbre based on reference inputs and text prompts.

A library of installable knowledge packs that extend AI agents with structured, domain-specific expertise to automate the full academic research lifecycle from ideation to publication.

A general-purpose AI agent platform for private on-premise deployment featuring a Planner+ReAct architecture and isolated Docker sandboxing for secure tool execution.

A framework that uses Reinforcement Learning from Community Feedback (RLCF) to train AI to judge the potential impact of scientific papers and propose high-impact research ideas.

A Progressive Web App translator that uses OpenAI-compatible chat models to provide flexible, translation services across mobile and desktop.

A multimodal AI project that generates virtual spatial proteomics (mIF) profiles from routine H&E pathology slides for tumor microenvironment modeling.

Kocoro is an open‑source macOS AI‑agent daemon (`shan`) that lets language‑model agents read/write files, control apps, run shell commands, automate browsers, and integrate with Slack/Telegram. It provides a CLI/TUI, HTTP API, MCP streaming, and a real‑time voice front‑brain. Install via npm, a script, or Go build; configure a Shannon Cloud or self‑hosted gateway for LLM completions. The daemon handles permissions, per‑agent memory, scheduling, and extensible tools, while a separate closed‑source GUI (Kocoro Desktop) offers a polished interface. Licensed under MIT.

A local-first desktop application for running and comparing LLM performance across various benchmark sets called Bench Packs against local or remote models.

An open-source model registry library that allows users to version, save, and download machine learning models across multiple cloud storage providers and local filesystems without a tracking server.

A movie recommendation system that uses collaborative filtering and SVD to suggest films to Letterboxd users based on their rating patterns.

A plugin for the `llm` package that orchestrates multiple diverse LLMs to collaboratively solve complex problems through iterative refinement and consensus-based arbitration.

A docking framework based on the Glowworm Swarm Optimization algorithm for predicting interactions between proteins, peptides, and DNA.

A centralized proxy and management platform for Model Context Protocol (MCP) services that allows users to discover, install, and monitor services from a single interface.

An AI-powered command-line assistant that integrates with tmux to provide contextual help, debug scripts, and analyze terminal output in real-time.

A library for prototyping generative AI applications that allows users to visually wire together modular components to experiment and share AI workflows.

A deep neural network-based method for automatically picking seismic arrival times (P and S waves) from raw seismic data.

A Julia library for creating approximation models that mimic computationally expensive simulations, enabling efficient function optimization and analysis.

A spatio-temporal video super-resolution project that uses Recurrent-Generative Back-Projection Networks and GANs to upscale low-resolution videos while maintaining temporal consistency and fine detail.

A collection of GTSAM factors and optimizers specifically designed for range-based SLAM and 3D point cloud registration.

A ComfyUI custom node that wraps the full FLUX.2 [klein] workflow into a single, self-contained UI widget to eliminate complex node graphs.

A PyTorch-based library for neural spatiotemporal forecasting that provides a unified framework for data preprocessing, model prototyping, and Graph Neural Network implementation.

A neural network based algorithm for heterogeneous cryo-EM and cryo-ET reconstruction that models continuous distributions of 3D structures.

An implementation of the ScreenAI vision-language model designed for understanding user interfaces and infographics.

SuperBench is a validation and profiling tool for AI infrastructure designed to improve the reliability of cloud AI environments.

A Node.js CLI/Web UI that uses the OpenAI ChatGPT API (or compatible services) to translate SRT subtitle files line‑by‑line, preserving timing. It batches lines, supports structured JSON output, prompt‑caching, optional moderation, and an advanced multi‑pass “agent” mode for richer translations.

A deep learning toolkit for single-cell gene expression analysis that provides a benchmark platform for reproducing experiments and automated preprocessing recommendations.

LViT is a multimodal framework that combines language and vision transformers to improve the accuracy of medical image segmentation in CT scans and other medical imagery.

A GPU-accelerated library for single-cell analysis that provides an AnnData-first API and compatibility with the Scanpy ecosystem.

An AI-powered code review tool that uses DeepSeek models to automate PR reviews via GitHub Actions or local CLI audits.

An extension of LightGBM that enables probabilistic modelling by predicting the full conditional distribution of a target variable instead of a single point estimate.

A Java SDK for interacting with Gemini Developer and Gemini Enterprise Agent Platform APIs, enabling content generation, multimodal input, and automatic function calling.

A sensitivity analysis utility package for the SciML ecosystem that helps determine how model outputs change relative to input parameters.

A Kubernetes device plugin that enables the registration and scheduling of AMD GPUs as compute resources within a container cluster.

A CLI tool that uses AI to automatically generate standardized conventional git commit messages based on code changes.

A fast robot kinematics and dynamics library written in pure Python using JAX for JIT-compilation and automatic differentiation.

A PyTorch library for offline reinforcement learning that provides a standardized framework and implementations of state-of-the-art model-free and model-based algorithms.

An open-source planning tool that turns complex project briefs into structured, editable planning baselines and interactive reports using AI.

An asynchronous data flow execution engine that lets developers build agentic applications by defining workflows as declarative YAML or JSON graphs.

A collection of Kubernetes deployment manifests that enable users to easily deploy and deploy Dify on a Kubernetes cluster.

A neural intelligence framework featuring a Rust-based neural network engine, advanced forecasting models, and a swarm orchestration system for CPU-native, ephemeral AI.

An integrated AI hardware evaluation engine that benchmarks the actual performance of AI chips across various models, frameworks, and software stacks to ensure fair and reproducible results.

An AI-powered DevOps CLI that allows users to manage, query, and deploy cloud infrastructure and Kubernetes clusters using natural language agents.

An extensible training framework for universal recurrent neural networks optimized for fast multi-GPU training and decoding.