Quan La (Phoebus)'s Projects
The most cited deep learning papers
Comprehensive and timely academic information on federated learning (papers, frameworks, datasets, tutorials, workshops)
A collection of AWESOME things about mixture-of-experts
Awesome machine learning for combinatorial optimization papers.
Coursera Reinforcement Learning Specialization by University of Alberta & Alberta Machine Intelligence Institute
code for Data Science From Scratch book
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
An easy-to-use federated learning platform
This repository contains code for paper "Federated PCA on Grassmann Manifold: Convergence Analysis and Advancements in IoT Anomaly Detection"
Fuzzy
Self-Teaching Notes on Gradient Leakage Attacks against GPT-2 models.
Large language Models (LLM)
Config files for my GitHub profile.
Leaf: A Benchmark for Federated Settings
Unify Efficient Fine-tuning of 100+ LLMs
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
Using Low-rank adaptation to quickly fine-tune diffusion models.
Maximum of minimum of sensor's energy each periods.
Charging Time Optimization for Maximizing Network Lifetime in WRSN