Langflow is a low-code app builder for RAG and multi-agent AI applications. It’s Python-based and agnostic to any model, API, or database.

Vitis In-Depth Tutorials

🔆 Top conferences & Journals focused on Facial expression recognition (FER)/ Facial action unit (FAU) 💫 ✨

A curated list of awesome network analysis resources.

STAT 453: Intro to Deep Learning @ UW-Madison (Spring 2020)

Tutorials, datasets, and other material associated with textbook "A First Course in Network Science" by Menczer, Fortunato & Davis

Source code accompanying 'Mathematics of Epidemics on Networks' by Kiss, Miller, and Simon http://www.springer.com/us/book/9783319508047 . Documentation for the software package is at https://epide…

Source code accompanying 'Mathematics of Epidemics on Networks' by Kiss, Miller, and Simon http://www.springer.com/us/book/9783319508047 . Documentation for the software package is at https://epide…

The "Python Machine Learning (3rd edition)" book code repository

short julia and abm intro

Network Science, Complex Networks

Code and data for "Stochastic Optimal Control of Epidemic Processes in Networks", ML4H at NeurIPS 2018

AgentPy is an open-source framework for the development and analysis of agent-based models in Python.

Code to replicate 'Social network-based distancing strategies to flatten the COVID-19 curve in a post-lockdown world'

Supplemental information and data for the manuscript 'Sparking "The BBC Four Pandemic": Leveraging citizen science and mobile phones to model the spread of disease'

Multi-layer network agent-based model of the progression of the sars-cov-2 infection and smartphone-based contact tracing

Repository for the free online book Machine Learning from Scratch (link below!)

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep lear…

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

This project demonstrates python, Keras, and CNN (Convelutional Neural Networks). The user can choose from angry, happy, sad, and neutral.

Easily benchmark Machine Learning models on selected tasks and datasets

The full dataset behind paperswithcode.com

Easily benchmark machine learning models in PyTorch

The SOTA extractor pipeline

Easily evaluate machine learning models on public benchmarks

Tips for releasing research code in Machine Learning (with official NeurIPS 2020 recommendations)

Tools for extracting tables and results from Machine Learning papers

A collection of various deep learning architectures, models, and tips