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Improve a Transcript from a YouTube Video, Podcast, or other source using LLMs
Generate Cool-Looking Mazes and Animations Illustrating the A* Pathfinding Algorithm
Materials for the Solr for newbies workshop
Table Transformer (TATR) is a deep learning model for extracting tables from unstructured documents (PDFs and images). This is also the official repository for the PubTables-1M dataset and GriTS ev…
Advanced Python Mastery (course by @dabeaz)
Finetune Llama 3.1, Mistral, Phi & Gemma LLMs 2-5x faster with 80% less memory
SWE-agent takes a GitHub issue and tries to automatically fix it, using GPT-4, or your LM of choice. It solves 12.47% of bugs in the SWE-bench evaluation set and takes just 1 minute to run.
Tools for merging pretrained large language models.
A feature-rich command-line audio/video downloader
LLM powered retrieval engine designed to process a ton of sources to collect a comprehensive list of entities.
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
Generalist and Lightweight Model for Named Entity Recognition (Extract any entity types from texts) @ NAACL 2024
🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming
RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.
Material for cuda-mode lectures
An example of a fully custom Emacs configuration developed live on YouTube!
A next-generation crawling and spidering framework.
An mlx project to train a base model on your whatsapp chats using (Q)Lora finetuning
Simple, minimal implementation of the Mamba SSM in one file of PyTorch.
🤖 Chat with your SQL database 📊. Accurate Text-to-SQL Generation via LLMs using RAG 🔄.
PyNest is a Python framework built on top of FastAPI that follows the modular architecture of NestJS
Code for the ICLR 2023 paper "GPTQ: Accurate Post-training Quantization of Generative Pretrained Transformers".
A package for statistically rigorous scientific discovery using machine learning. Implements prediction-powered inference.