elena-krismer

Auto-GPT

An experimental open-source attempt to make GPT-4 fully autonomous.

langchain

🦜🔗 Build context-aware reasoning applications

scikit-learn

scikit-learn: machine learning in Python

gpt-engineer

Specify what you want it to build, the AI asks for clarification, and then builds it.

gradio

Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!

yew

Rust / Wasm framework for creating reliable and efficient web applications

quivr

Your GenAI Second Brain 🧠 A personal productivity assistant (RAG) ⚡️🤖 Chat with your docs (PDF, CSV, ...) & apps using Langchain, GPT 3.5 / 4 turbo, Private, Anthropic, VertexAI, Ollama, LLMs, that you can share with users ! Local & Private alternative to OpenAI GPTs & ChatGPT powered by retrieval-augmented generation.

chatgpt-retrieval-plugin

The ChatGPT Retrieval Plugin lets you easily find personal or work documents by asking questions in natural language.

babyagi

react-flow

Highly customizable library for building an interactive node-based UI, workflow editor, flow chart or static diagram

langflow

⛓️ Langflow is a dynamic graph where each node is an executable unit. Its modular and interactive design fosters rapid experimentation and prototyping, pushing hard on the limits of creativity.

StableLM

StableLM: Stability AI Language Models

codon

A high-performance, zero-overhead, extensible Python compiler using LLVM

great_expectations

Always know what to expect from your data.

pdfGPT

PDF GPT allows you to chat with the contents of your PDF file by using GPT capabilities. The most effective open source solution to turn your pdf files in a chatbot!

camel

🐫 CAMEL: Finding the Scaling Law of Agents. A multi-agent framework. https://www.camel-ai.org

GraphGPT

Extrapolating knowledge graphs from unstructured text using GPT-3 🕵️‍♂️

nextflow

A DSL for data-driven computational pipelines

rust-bio

This library provides implementations of many algorithms and data structures that are useful for bioinformatics. All provided implementations are rigorously tested via continuous integration.

blogs

Jupyter notebooks that support my graph data science blog posts at https://bratanic-tomaz.medium.com/

langchain-course

Learn to build and deploy AI apps.

yolopandas

NeoGPT-Explorer

Knowledge-graph based chatbot using GPT3 and Neo4j

chatgpt_plugin_python

A simple To-do ChatGPT Plugin using python and deployed on replit.

pyComBat

pyComBat is a Python 3 implementation of ComBat, one of the most widely used tool for correcting technical biases, called batch effects, in microarray expression data.

blitzgsea

Fast Gene Set Enrichment Analysis (GSEA) implementation of the prerank algorithm. Use Loess interpolation of bimodal ES distribution for accurate p-value estimation.

imcRtools

An R package for handling and analysing imaging mass cytometry data

neighbouRhood

Adds an R implementation for the HistoCAT neightbourhood analysis that runs from CellProfiler output.

refquant

Reference-channel based quantification for mDIA data

JojoGraph

A graph network representation of the character interactions in the manga series "Jojo's Bizarre Adventure".