Description:
Open-source diffusion-transformer TTS framework delivering fluent, faithful speech with Flow Matching. Includes F5-TTS Base, E2-TTS, multi-speaker support, CLI and Gradio interfaces, and Docker-ready deployment.
Data Science, AI and Machine Learning
TTS
Description:
A deep learning toolkit for Text-to-Speech with pretrained models, training utilities, and data tools for building speech synthesis across many languages.
RVC Retrieval-based Voice Conversion WebUI
Description:
End-to-end web-based interface for retrieval-based voice conversion using Open Source RVC models and Torch-based ML pipelines.
Cognee
Description:
Cognee is an open-source AI memory platform that ingests data into a self-hosted knowledge graph, enabling persistent memory for agents across sessions with vector search and ontology grounding.
LingBot-Map: Geometric Context Transformer for Streaming 3D Reconstruction
Description:
LingBot-Map is a feed-forward 3D foundation model for streaming 3D reconstruction. It unifies geometric grounding, dense cues, and drift correction in a single streaming framework with paged KV cache attention, enabling efficient, scalable reconstruction of long sequences.
car-diagnosis
Description:
End-to-end audio-ML pipeline that diagnoses car faults from sound; scrapes audio clips, cleans audio, embeds with CLAP, and provides calibrated triage via CLI and live web app.
MaxKB
Description:
MaxKB is an open-source enterprise-grade agent platform that integrates Retrieval-Augmented Generation (RAG), a workflow engine, and MCP tool-use. It supports multiple LLMs, model providers, and multi-modal inputs/outputs, enabling zero-code integration with business systems.
Obot
Description:
Obot is an open-source MCP platform that hosts MCP servers, offers an MCP registry and gateway, and enables chat clients and agents that leverage MCP servers. It supports Docker and Kubernetes deployments and emphasizes security and authentication.
PixelRAG
Description:
PixelRAG renders web pages, PDFs and images as screenshot tiles and enables retrieval by visual similarity over the screenshots. It provides a pipeline to render, embed, index and serve a FAISS index for fast visual search, enabling retrieval-augmented generation.
Kagenti
Description:
Kagenti is a cloud-native middleware framework for deploying and orchestrating AI agents, with security, identity, and Kubernetes tooling. It provides lifecycle, networking, security, and observability components, enabling deployment of agents and tools via A2A and MCP protocols.