phanducthien82's repositories
mafese
Feature Selection using Metaheuristics Made Easy: Open Source MAFESE Library in Python
Awesome-FL
Comprehensive and timely academic information on federated learning (papers, frameworks, datasets, tutorials, workshops)
FLSim
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 as vision and text.
best-of-ml-python
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
qml
Introductions to key concepts in quantum programming, as well as tutorials and implementations from cutting-edge quantum computing research.
generative-ai-for-beginners
18 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
pfl-research
Simulation framework for accelerating research in Private Federated Learning
best-leetcode-resources
This repository contains LeetCode resources for technical coding interviews.
fedavg
PyTorch implementation of federated learning on MNIST
Neural-Network-Architecture-Diagrams
Diagrams for visualizing neural network architecture (Created with diagrams.net)
FedLab-benchmarks
Standard federated learning implementations in FedLab and FL benchmarks.
Complete-System-Design
This repository contains everything you need to become proficient in System Design
qiskit-textbook
Source content for the Qiskit Textbook
Elementary-Math-Solving-Zalo-AI-2023
Baseline for ZaloAI Challenge 2023 Elementary Math Solving
hello-algo
《Hello 算法》：动画图解、一键运行的数据结构与算法教程，支持 Java, C++, Python, Go, JS, TS, C#, Swift, Rust, Dart, Zig 等语言。
BMFL
BM-FL: A Balanced Weight Strategy for Multi-stage Federated Learning Against Multi-client Data Skewing
analytics_facebook_Biettheeodilam
Final project in Data processing programming in python
the-incredible-pytorch
The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.
Federated-Learning-in-PyTorch
Handy PyTorch implementation of Federated Learning (for your painless research)
transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
ML-From-Scratch
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
pytorch-image-models
PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNet-V3/V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more
QFL
Quantum Federated Learning with Noise-Aware Aggregation.
pytorch-deep-learning
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
machine-learning-experiments
🤖 Interactive Machine Learning experiments: 🏋️models training + 🎨models demo
torchquantum
A PyTorch-based framework for Quantum Simulation, Quantum Machine Learning, Quantum Neural Networks, Parameterized Quantum Circuits with support for easy deployments on real quantum computers.
pytorch-CycleGAN-and-pix2pix
Image-to-Image Translation in PyTorch