Speech-AI-Forge
🍦 Speech-AI-Forge is a project developed around TTS generation model, implementing an API Server and a Gradio-based WebUI.
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🍦 Speech-AI-Forge is a project developed around TTS generation model, implementing an API Server and a Gradio-based WebUI.
Universal Claude Code workflow plugin with agents, skills, hooks, and commands
Because `model.fit()` isn't an explanation
A multilingual dialog corpus
Synchronized Translation for Videos. Video dubbing
A flexible package for multimodal-deep-learning to combine tabular data with text and images using Wide and Deep models in Pytorch
Python SDK for Milvus Vector Database
Fine-tune LLMs on your Mac with Apple Silicon. SFT, DPO, GRPO, Vision, TTS, STT, Embedding, and OCR fine-tuning — natively on MLX. Unsloth-compatible API.
AI-powered sales team for Claude Code. Research prospects, qualify leads (BANT + MEDDIC), find decision makers, generate outreach sequences, prepare for meetings, write proposals, and produce PDF pipeline reports — 14 skills, 5 parallel agents.
TabICLv2: An open tabular foundation model
The Tavily Python SDK allows for easy interaction with the Tavily API, offering the full range of our search, extract, crawl, map, and research functionalities directly from your Python programs. Easily integrate smart search, content extraction, and research capabilities into your applications, harnessing Tavily's powerful features.
🛸 Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy
Extra blocks for scikit-learn pipelines.
[SIGGRAPH Asia 2026] 4DAnyone: Create Anyone in 4D from a Casual Monocular Video
A multilingual model for long-form, multi-speaker dialogue synthesis with flexible speaker control and zero-shot voice cloning
asyncio client for kafka
Pytorch implementation of Transfusion, "Predict the Next Token and Diffuse Images with One Multi-Modal Model", from MetaAI
MulimgViewer is a multi-image viewer that can open multiple images in one interface, which is convenient for image comparison and image stitching.
LLM-compiled knowledge bases for any AI agent. Parallel multi-agent research, thesis-driven investigation, source ingestion, wiki compilation, querying, and artifact generation.
Multi-agent orchestration for AI coding CLIs — Claude Code, Kiro, Codex, and more, coordinated in isolated tmux sessions