A harness engineering layer for Codex and Claude Code that turns AI coding into a gated workflow with specialized roles for planning, development, and auditing.

A curated registry and CLI for discovering, installing, and managing human-authored skills (standardized instructions) across multiple AI agents.

ZONOS2 is a high-fidelity, multilingual text-to-speech model using a Mixture-of-Experts backbone to deliver naturalistic voice cloning and expressive emotional control.

A deep learning library for X-Risk optimization that allows users to directly optimize performance measures like AUROC, AUPRC, and NDCG for imbalanced data and ranking tasks.

Quantus is an open‑source Python library (PyTorch/TensorFlow) that provides 35+ quantitative metrics for evaluating neural‑network explanation methods across six categories (faithfulness, robustness, localisation, complexity, randomisation, axiomatic). It enables reproducible, batch‑efficient assessment of XAI techniques for image, time‑series, and tabular data, with tutorials, docs, and community support.

An all-in-one AI media tool for face swapping, voice cloning, and video generation that runs locally for privacy.

A comprehensive survey and taxonomy of Embodied Co-Design (ECD), focusing on the joint optimization of an agent's morphology and control to create more capable intelligent robots and virtual creatures.

A JEPA-inspired Physical World Model for robots that uses an Energy-Based Transformer to simulate and refine action trajectories based on physical consistency.

TorchConv‑KAN is a PyTorch library that implements convolutional layers where each kernel is a set of learnable univariate functions (KAN, Fast‑KAN, Cheby‑KAN, etc.). It ships with many layer variants, CNN‑style model families (ResKANet, DenseKANet, VGG‑KAN, U‑Net‑KAN), pre‑trained Imagenet‑1k checkpoints, and training scripts that use Accelerate, Hydra, WandB, and Ray‑Tune. The project is under active development and accompanies a research paper on Kolmogorov‑Arnold convolutions.

A Rust-based AI video narration engine that uses a multi-agent system to automate scene analysis, scriptwriting, voice cloning, and timeline alignment for CapCut exports.

A visual PyTorch pipeline editor that enables users to build, train, and run image classification models through a drag-and-drop interface without writing code.

A collection of documentation-driven skills for AI coding agents that teach them how to turn user feedback into executable PRDs and improve UI visual taste.

A Flask‑based web app that lets you upload videos, runs a deep‑learning watermark‑removal model on a GPU, and returns the cleaned video via a modern browser UI or a tiny REST API.

An AI-powered industry analysis tool that collects AI trends from multiple sources and uses LLMs to prioritize them based on a user's specific business needs.

An R implementation of the Uniform Manifold Approximation and Projection (UMAP) method for dimensionality reduction of high-dimensional data.

A Python library that simplifies Principal Component Analysis (PCA) by wrapping scikit‑learn’s PCA/SparsePCA/TruncatedSVD and adding ready‑made biplots, explained‑variance charts, outlier detection (Hotelling T², SPE/D‑ModX), feature‑importance extraction, model saving/loading, and utilities for normalising variance and projecting new data.

A natural language meme retrieval tool that uses embedding models and vision AI to find memes based on moods or scene descriptions.

A Python library that dynamically generates and executes code for unrecognized functions using GPT-4, allowing developers to call functions that haven't been written yet.

An open-source XiangQi (Chinese Chess) engine that uses Alpha-Beta search and bitboard move generation to provide strong AI gameplay.

OpenPAI is a full-stack AI platform that enables organizations to share computing resources like GPUs and FPGAs and manage AI assets to simplify the training pipeline.

TensorFlow Model Analysis (TFMA) is a library for large‑scale, slice‑aware evaluation of TensorFlow models. It runs distributed Beam pipelines, visualizes results in Jupyter, and integrates with TFX/Kubeflow pipelines.

A library for preprocessing data with TensorFlow that supports full-pass operations and exports transformations as a graph to prevent training-serving skew.

TensorFlow Data Validation (TFDV) is a scalable Python library for computing data statistics, inferring schemas, and detecting anomalies in machine‑learning datasets. It integrates with TensorFlow/TFX pipelines, uses Apache Beam for distributed processing, and provides visual UI tools for inspecting data quality.

A library for recording and retrieving metadata associated with machine learning developer and data scientist workflows.

A self-configuring framework for medical object detection that automates the configuration process to localize and categorize objects in medical images.

SAM2Long is a training-free enhancement for SAM 2 that uses a memory tree to prevent error accumulation and improve object segmentation in long videos.

AAABench is a benchmark that gives an AI coding agent a real Unreal Engine 5 editor, a demanding brief to build an open-world game, and hours of unsupervised time — then measures whether the agent can design, build, and self-correct a believable world without any human help.

A TensorFlow implementation of the Attention Temporal Convolutional Network (ATCNet) for classifying motor imagery EEG signals to improve brain-computer interfaces.

An instant messaging application that integrates ChatGPT and RAG capabilities, allowing users to chat with AI and query their uploaded documents.

A hybrid object detection framework combining YOLOv12 and DINOv3 to provide superior accuracy and faster convergence, especially on small or complex datasets.

A lightweight personal AI assistant framework featuring a modular runtime, persistent hybrid memory, and multi-level context compression to build scalable AI agents.

Haupt is a Polyaxon service that provides APIs for lineage metadata, streaming artifacts/metrics, interactive sandbox sessions (SSH/tmux), a local viewer API, and hosted notebook spaces—tools that help manage, monitor, and reproduce machine‑learning experiments.

A collection of notebooks for implementing, fine-tuning, and interpreting ColPali and ColQwen2 models for vision-based document retrieval.

ColorFlow is a retrieval-augmented diffusion framework that colorizes black-and-white image sequences while maintaining consistent character and object identities across frames.

A JavaScript and TypeScript SDK for building Astrid capsules, enabling developers to create portable Wasm components using familiar JS idioms and decorators.

A Python library for wavelet transforms that enables time-frequency analysis of signals and data across multiple dimensions.

A command-line OCR tool for macOS that extracts text, QR codes, and barcodes from the screen, images, or PDFs using Apple's Vision framework.

A lightweight hot-topic aggregator that monitors multiple news platforms and sends filtered, keyword-based notifications to mobile messaging apps.

TabPy is a Python server that extends Tableau's capabilities by allowing users to execute Python scripts and functions via table calculations.

A scientific data management platform on AWS that turns cloud data into versioned, context-rich packages to ensure data is findable and reusable for AI and research.

A collection of starter code and templates for quickly deploying various types of AI server bots on the Poe platform using Modal.

A high-performance dataframe and series library for Elixir that enables fast data exploration and manipulation using a Polars-backed backend.

A song recognition application that uses the AudD API to identify music from desktop audio or a microphone.

An open-source, affordable VR eye tracking platform that enables eye tracking for VRChat via OSC and UDP protocols.

An offline Chinese address parser that converts unstructured text into structured administrative divisions, names, and contact details while handling location ambiguity.

RStan is the R interface to Stan, a probabilistic programming language for Bayesian inference. It lets R users write Stan models, compile them, and run state‑of‑the‑art MCMC or variational inference, returning results as R objects that integrate with standard diagnostic and plotting tools.

A Matlab software package for highly comparative time-series analysis that extracts thousands of features from univariate time series for classification and phenotyping.

A Python project that provides a uniform interface to neuroimaging software, allowing users to combine tools from different packages into single, reproducible workflows.