Machine Unlearning Experiments and Exploration

ACOPF with Pyomo/Pypower/Ipopt

A sparse KLU solver for PyTorch.

rewind.ai x cursor.com = your AI assistant that has all the context

Hardware accelerated, batchable and differentiable optimizers in JAX.

Build large language model (LLM) apps with Python, ChatGPT and other models. This is the companion repository for the book on generative AI with LangChain.

Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams

🤱🏻 Turn any webpage into a desktop app with Rust. 🤱🏻 利用 Rust 轻松构建轻量级多端桌面应用

An intelligent block matrix library for numpy, PyTorch, and beyond.

Platform to experiment with the AI Software Engineer. Terminal based. NOTE: Very different from https://gptengineer.app

A highly adaptable modelling framework for multi-energy systems

Spine Toolbox is an open source Python package to manage data, scenarios and workflows for modelling and simulation. You can have your local workflow, but work as a team through version control and…

Get up and running with Llama 3.2, Mistral, Gemma 2, and other large language models.

Developing LLM applications for power systems

Differentiation through cone programs

PyPSA-Earth: A flexible Python-based open optimisation model to study energy system futures around the world.

Implement a ChatGPT-like LLM in PyTorch from scratch, step by step

Existing Literature about Machine Unlearning

🧡 Next generation information browser.

Python interface for OSQP

Compositional Linear Algebra

Teaching materials for the machine learning and deep learning classes at Stanford and Cornell

Lecture materials for Cornell CS5785 Applied Machine Learning (Fall 2024)

Fully differentiable RL environments, written in Ivy.

 Now we have become very big, Different from the original idea. Collect premium software in various categories.

Model predictive control python toolbox

⚡️HivisionIDPhotos: a lightweight and efficient AI ID photos tools. 一个轻量级的AI证件照制作算法。

Network generation for paper Multi-Agent Reinforcement Learning for Active Voltage Control on Power Distribution Networks.