Latest Open Source Projects
pandas-ai
pandas-ai
TLDR: Chat with your database or your datalake (SQL, CSV, parquet). PandasAI makes data analysis conversational using LLMs and RAG.
AgentGPT
AgentGPT
TLDR: AgentGPT is an open-source project that allows users to configure and deploy autonomous AI agents in their browser. It comes with an automatic setup CLI and uses a variety of technologies such as Nextjs, FastAPI, and Langchain.
llama.cpp
llama.cpp
TLDR: The llama.cpp project enables inference of Meta's LLaMA model and others in pure C/C++. It offers minimal setup, state-of-the-art performance on a wide range of hardware, including various backends and supports multiple models. It comes with tools like llama-cli, llama-server, llama-perplexity, llama-bench, and more.
Awesome-LLM
Awesome-LLM
TLDR: A curated list of papers, frameworks, tools, and resources related to large language models (LLM), including milestone papers, leaderboards, open LLM models, data, evaluation methods, training frameworks, deployment solutions, applications, tutorials, books, and great thoughts about LLM.
llama
llama
TLDR: This repository provides a minimal example to load and run inference on Llama 2 models. It includes instructions for downloading the model weights and tokenizer, as well as quick start and inference steps. Different models require different model-parallel values. Llama 2 is licensed for both researchers and commercial entities.
FinGPT
FinGPT
TLDR: FinGPT: Open-Source Financial Large Language Models! Revolutionize 🔥 We release the trained model on HuggingFace.
AnimatedDrawings
AnimatedDrawings
TLDR: This repo contains an implementation of an algorithm for animating children's drawings. It provides tools for creating animations from drawings, including exporting to different formats, animating custom drawings, and adding multiple characters and backgrounds. It also includes a browser-based demo, a dataset, and trained model weights.
llama_index
llama_index
TLDR: LlamaIndex is a data framework for LLM applications. It provides data connectors, ways to structure data, an advanced retrieval/query interface, and easy integrations. It has starter and customized options in Python and comes with important links and an ecosystem including LlamaHub and LlamaLab. Contributions are welcome and full documentation is available.