Starred repositories
Open Source framework for voice and multimodal conversational AI
Awesome LLM compression research papers and tools.
Simple UI for https://github.com/tpope/vim-dadbod
RAG on Everything with LEANN. Enjoy 97% storage savings while running a fast, accurate, and 100% private RAG application on your personal device.
Easily deployable and scalable backend server that efficiently converts various document formats (pdf, docx, pptx, html, images, etc) into Markdown. With support for both CPU and GPU processing, it…
20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale.
A reactive notebook for Python — run reproducible experiments, query with SQL, execute as a script, deploy as an app, and version with git. Stored as pure Python. All in a modern, AI-native editor.
Fully Local Manus AI. No APIs, No $200 monthly bills. Enjoy an autonomous agent that thinks, browses the web, and code for the sole cost of electricity. 🔔 Official updates only via twitter @Martin9…
This repository contains demos I made with the Transformers library by HuggingFace.
Build your personal knowledge base with Trilium Notes
This repository contains the Hugging Face Agents Course.
📕 Clarity in the current fast-paced mess of Open Source innovation
LLM, Fine Tuning, Llama 2, Gemma, Mixtral, vLLM, LangChain, RAG, ChromaDB, FAISS
OCR, layout analysis, reading order, table recognition in 90+ languages
PRQL is a modern language for transforming data — a simple, powerful, pipelined SQL replacement
LSTM neural networks for nowcasting economic data.
R wrapper for nowcast_lstm Python library. Long short-term memory neural networks for economic nowcasting.
🐉 Compute and work with indices of effect size and standardized parameters
Summarise text by finding relevant sentences and keywords using the Textrank algorithm
The machine learning toolkit for time series analysis in Python
A collection of handy Stata programs for empirical analyses
A Unified Toolkit for Deep Learning Based Document Image Analysis
a Stata module for machine learning (ML) algorithms, implemented within R using rcall package
A repository for TA sessions of a Quantitative Macroeconomics PhD course at Bocconi University. Some non-related but neighboring material is included.