healthmemmo Goto Github PK

langflow

⛓️ Langflow is a UI for LangChain, designed with react-flow to provide an effortless way to experiment and prototype flows.

latent_space_activation

Simple repo demonstrating Latent Space Activation

livekit-assistant

llama-factory

A WebUI for Efficient Fine-Tuning of 100+ LLMs (ACL 2024)

llama2-chat-with-documents

Simple Chainlit app to have interaction with your documents.

llama2-different-vectorstores

Simple Chainlit app to have interaction with your documents using different vectorstores.

llama2-medical-chatbot

This is a medical bot built using Llama2 and Sentence Transformers. The bot is powered by Langchain and Chainlit. The bot runs on a decent CPU machine with a minimum of 16GB of RAM.

llama2rag

A working example of RAG using LLama 2 70b and Llama Index

llamafile

Distribute and run LLMs with a single file.

llama_index

LlamaIndex (GPT Index) is a data framework for your LLM applications

llama_parse

Parse files for optimal RAG

llm-distillation-guide

generate dataset and fine tune small model on same task

llm-interface

A simple NPM interface for seamlessly interacting with 36 Large Language Model (LLM) providers, including OpenAI, Anthropic, Google Gemini, Cohere, Hugging Face Inference, NVIDIA AI, Mistral AI, AI21 Studio, LLaMA.CPP, and Ollama, and hundreds of models.

llm-tutorials

A set of LLM Tutorials from my youtube channel

llms-cookbook

This notebook uses Python to apply Optical Character Recognition (OCR) on image and PDF files. It retrieves the necessary files, installs required libraries, extracts text from an image, converts PDFs to images, and performs OCR on these images.

llmsherpa

Developer APIs to Accelerate LLM Projects

llmware

Providing enterprise-grade LLM-based development framework, tools, and fine-tuned models.

localgpt

Chat with your documents on your local device using GPT models. No data leaves your device and 100% private.

longtermchatexternalsources

GPT-3 chatbot with long-term memory and external sources

machine-learning-models-implementation

Implementation of several ML models on real-world datasets with detailed explanation in notebooks.

marker

Convert PDF to markdown quickly with high accuracy

medical-mixture-of-experts-llm

Medical Mixture of Experts LLM using Mergekit.

medical-rag-using-bio-mistral-7b

This is a RAG implementation using Open Source stack. BioMistral 7B has been used to build this app along with PubMedBert as an embedding model, Qdrant as a self hosted Vector DB, and Langchain & Llama CPP as an orchestration frameworks.

medical-rag-using-meditron-7b-llm

Medical RAG QA App using Meditron 7B LLM, Qdrant Vector Database, and PubMedBERT Embedding Model.

medical_intake

Automated pipeline for medical intake, diagnosis, tests, etc.

mem0

The Open Source RAG framework

memgpt

Teaching LLMs memory management for unbounded context 📚🦙

memgpt2

Memory extension for GPT-4 using Pinecone VectorDB

memgptassistant

Assistant with infinite virtual memory

memgpt_lab