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Feature Selection using Metaheuristics Made Easy: Open Source MAFESE Library in Python
A curated list of Federated Learning papers/articles and recent advancements.
Quantum Machine Learning
MLNLP社区用来帮助大家避免论文投稿小错误的整理仓库。 Paper Writing Tips
This repository contains everything you need to become proficient in System Design
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
Federated Learning Simulator (FLSim) is a flexible, standalone core library that simulates FL settings with a minimal, easy-to-use API. FLSim is domain-agnostic and accommodates many use cases such…
Avoiding Barren Plateaus in Variational Quantum Circuits
Source content for the Qiskit Textbook
Introductions to key concepts in quantum programming, as well as tutorials and implementations from cutting-edge quantum computing research.
A quantum machine learning algorithm for quantum non-IID federated learning
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 compu…
[NeurIPS 2019 FL workshop] Federated Learning with Local and Global Representations
PyTorch implementation of Per-FedAvg (Personalized Federated Learning: A Meta-Learning Approach).
Standard federated learning implementations in FedLab and FL benchmarks.
Handy PyTorch implementation of Federated Learning (for your painless research)
Personalized Federated Learning with Moreau Envelopes (pFedMe) using Pytorch (NeurIPS 2020)
A collection of resources and papers on Diffusion Models
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
Tensor network based quantum software framework for the NISQ era
21 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
Simulation framework for accelerating research in Private Federated Learning
Code to reproduce some of the figures in the paper "On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima"
