Code for ICML2023 Paper: Continuation Path Learning for Homotopy Optimization

Evolution of Heuristics

Tools for merging pretrained large language models.

Learning a hierarchical model of data with neural networks.

Automated Design of Agentic Systems

Welcome to the Awesome Feature Learning in Deep Learning Thoery Reading Group! This repository serves as a collaborative platform for scholars, enthusiasts, and anyone interested in delving into th…

2024 up-to-date list of DATASETS, CODEBASES and PAPERS on Multi-Task Learning (MTL), from Machine Learning perspective.

implement basic and contextual MAB algorithms for recommendation system

Must-read Papers on Large Language Model (LLM) as Optimizers and Automatic Optimization for Prompting LLMs.

[IJAIT 2021] MABWiser: Contextual Multi-Armed Bandits Library

Large Language Model for MOEA

LibMOON is a standard and flexible framework to study gradient-based multiobjective optimization.

[NeurIPS 2024] ReEvo: Large Language Models as Hyper-Heuristics with Reflective Evolution

Multi Armed Bandits implementation using the Yahoo! Front Page Today Module User Click Log Dataset

[AAAI 2024] Mab2Rec: Multi-Armed Bandits Recommender

Evolution Through Large Models

The official GitHub page for the survey paper "A Survey of Large Language Models".

🚀CodiumAI PR-Agent: An AI-Powered 🤖 Tool for Automated Pull Request Analysis, Feedback, Suggestions and More! 💻🔍

🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming

✨✨Latest Advances on Multimodal Large Language Models

pix2tex: Using a ViT to convert images of equations into LaTeX code.

Study of the paper 'Neural Thompson Sampling' published in October 2020

Multi-fidelity probability machine learning

Code for experiments in my blog post on the Neural Tangent Kernel: https://rajatvd.github.io/NTK

A lightweight contextual bandit & reinforcement learning library designed to be used in production Python services.

Visual analysis and diagnostic tools to facilitate machine learning model selection.

EPFL Course - Optimization for Machine Learning - CS-439

Graphic notes on Gilbert Strang's "Linear Algebra for Everyone"