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A collection of guides and examples for the Gemma open models from Google.
An Industrial-Level Controllable and Efficient Zero-Shot Text-To-Speech System
Chat with your database or your datalake (SQL, CSV, parquet). PandasAI makes data analysis conversational using LLMs and RAG.
Use Microsoft Edge's online text-to-speech service from Python WITHOUT needing Microsoft Edge or Windows or an API key
⏰ AI conference deadline countdowns
Send push notifications to your phone or desktop using PUT/POST
The python library for real-time communication
A mini, open-weights, version of our Proxy assistant.
A few functions I write that are useful to me (and hopefully others)
Toolkit for linearizing PDFs for LLM datasets/training
Official code for the paper: From Tools to Teammates: Evaluating LLMs in Multi-Session Coding Interactions
DeepEP: an efficient expert-parallel communication library
Open source version of OpenAI Operator - Ask your browser to perform highlevel tasks
"LightRAG: Simple and Fast Retrieval-Augmented Generation"
Code for the project "MegaSaM: Accurate, Fast and Robust Structure and Motion from Casual Dynamic Videos"
EasyR1: An Efficient, Scalable, Multi-Modality RL Training Framework based on veRL
OCR & Document Extraction using vision models
A lightweight next-gen data explorer - Postgres, MySQL, SQLite, MongoDB, Redis, MariaDB, Elastic Search, and Clickhouse with Chat interface
A script for creating your very own AI-Powered stock screener
An opinionated collection of selfhosted apps, managed with Ansible.
Add tool calling capabilities to newly released LLMs on LangChain's ChatOpenAI library ahead of time before LangChain/LangGraph supports it!