Popular GitHub Repositories for Msx Computers

A natural language interface for computers

[ICLR 2025] Agent S: an open agentic framework that uses computers like a human

Like Manus, Computer Use Agent(CUA) and Omniparser, we are computer-using agents.AI-driven local automation assistant that uses natural language to make computers work by themselves

A PyTorch-based framework for Quantum Classical Simulation, Quantum Machine Learning, Quantum Neural Networks, Parameterized Quantum Circuits with support for easy deployments on real quantum computers.

A fork of Anthropic Computer Use that you can run on Mac computers to give Claude and other AI models autonomous access to your computer.

A TensorFlow implementation of DeepMind's Differential Neural Computers (DNC)

Differentiable Neural Computers, Sparse Access Memory and Sparse Differentiable Neural Computers, for Pytorch

Reasoning Computers. Lambda Calculus, Fully Differentiable. Also Neural Stacks, Queues, Arrays, Lists, Trees, and Latches.

AI Agent to control computers, applications and services using natural language

UAV Autonomous Systems Management

Multimodal Assistant. Human Interface for computers.

Official code for 'Super-Resolution of License Plate Images Using Attention Modules and Sub-Pixel Convolution Layers' (Computers & Graphics 2023)

FedDANE: A Federated Newton-Type Method (Asilomar Conference on Signals, Systems, and Computers ‘19)

Problem Statement: Given the tweets from customers about various tech firms who manufacture and sell mobiles, computers, laptops, etc, the task is to identify if the tweets have a negative sentiment towards such companies or products.

Computers & Security

Reinforcement learning for batch bioprocess optimization (Computers & Chemical Engineering, 2020)

A python script that leverages the capabilities of OpenAI's GPT-4 model to automatically transcribe and generates bullet point meeting notes using the computers microphone

Official implementation of MITS-GAN of our Computers in Biology and Medicine 2024 work 'MITS-GAN: Safeguarding Medical Imaging from Tampering with Generative Adversarial Networks'

A low-code platform to execute a typical pipeline for machine learning tasks through quantum computers