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Mahdi Shafiei's Projects

eunomia icon eunomia

Chemist AI Agent for Developing Materials Datasets with Natural Language Prompts

figureonelab icon figureonelab

A running start for your computational biology portfolio.

flax icon flax

Flax is a neural network library for JAX that is designed for flexibility.

fm-cheatsheet icon fm-cheatsheet

Website for hosting the Open Foundation Models Cheat Sheet.

gecko icon gecko

Toolbox for including enzyme constraints on a genome-scale model.

genepy icon genepy

A list of awesome files for computational biologists

gflownet icon gflownet

GFlowNet library specialized for graph & molecular data

gpt4all icon gpt4all

GPT4All: Chat with Local LLMs on Any Device

graphrag icon graphrag

A modular graph-based Retrieval-Augmented Generation (RAG) system

gt4sd-core icon gt4sd-core

GT4SD, an open-source library to accelerate hypothesis generation in the scientific discovery process.

haystack icon haystack

:mag: LLM orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.

helical icon helical

This repository contains the python package for Helical

iseq icon iseq

Download sequencing data and metadata from GSA, SRA, ENA, and DDBJ databases.

ivy icon ivy

Convert ML Code Between Frameworks

langflow icon langflow

⛓️ Langflow is a visual framework for building multi-agent and RAG applications. It's open-source, Python-powered, fully customizable, model and vector store agnostic.

laplace icon laplace

Laplace approximations for Deep Learning.

litgpt icon litgpt

20+ high-performance LLM implementations with recipes to pretrain, finetune and deploy at scale.

llm-agent-paper-list icon llm-agent-paper-list

The paper list of the paper "The Rise and Potential of Large Language Model Based Agents: A Survey" by Zhiheng Xi et al.

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