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a-bayesian-federated-learning-framework-with-online-laplace-approximation

add-gp-bandits

Additive Gaussian Process Bandits - version 1.0

airfoilopt

A grid-less flow solver routine in MATLAB based on the Hess-Smith Panel Method which I coupled with an evolutionary optimization algorithm to optimize airfoil shapes for desired criteria.

annotated_deep_learning_paper_implementations

🧑‍🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

awesome-federated-learning-on-graph-and-tabular-data

Federated learning on graph and tabular data related papers, frameworks, and datasets.

bayesian-neural-network-pytorch

PyTorch implementation of bayesian neural network.

bayesianrnn

Code for the paper "A Theoretically Grounded Application of Dropout in Recurrent Neural Networks"

courseramachinelearning

Coursera Machine Learning By Prof. Andrew Ng

d2l-zh

《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被60个国家的400所大学用于教学。

differentialevolution

An implementation of the famous Differential Evolution Computational Intelligence algorithm formulated by Storn and Price. This algorithm uses the Otsu criterion as the fitness function and can be used to threshold grayscale images using multiple thresholds.

dive_into_deep_learning

✔️李沐 【动手学深度学习】课程学习笔记：使用pycharm编程，基于pytorch框架实现。

easyfl

An easy-to-use federated learning platform

easyfl-1

An experimental platform to quickly realize and compare with popular centralized federated learning algorithms. A realization of federated learning algorithm on fairness (FedFV, Federated Learning with Fair Averaging, https://fanxlxmu.github.io/publication/ijcai2021/) was accepted by IJCAI-21 (https://www.ijcai.org/proceedings/2021/223).

eges

ego

Codes for efficient global optimization

esb-ceo

The MATLAB code for the paper " Bayesian Co-evolutionary Optimization based Entropy Search for High-dimensional Many-objective Optimization" published on Knowlege based systerms(50 days' free access https://authors.elsevier.com/a/1hBE-3OAb998sT)

fedala

AAAI 2023 accepted paper, FedALA: Adaptive Local Aggregation for Personalized Federated Learning

federated-learning

Overview of Federal Learning

geatpy

A high-performance GEA framework of Python. Welcome to star and fork.

github

GitHub 漫游指南- a Chinese ebook on how to build a good build on Github. Explore the users' behavior. Find some thing interest.

gr-based-sapso

Codebase for the KBS paper: Granularity-based surrogate-assisted particle swarm optimization for high-dimensional expensive optimization

hi-ml

HI-ML toolbox for deep learning for medical imaging and Azure integration

lstmforsentanalysis

用LSTM进行文本的情感分析

matsumoto

MATLAB Surrogate Model Toolbox

mgpslpso

MGP-SLPSO main code

mimo

Massive MIMO

mimo-ofdm-wireless-communications-with-matlab

MATLAB Code for MIMO-OFDM Wireless Communications with MATLAB | MIMO-OFDM无线通信技术及MATLAB实现

multi-criteria-dimensionality-reduction

Implementation and supporting materials for the paper Multi-Criteria Dimensionality Reduction with Applications to Fairness, NeurIPS2019 and extend the prior work "The Price of Fair PCA: One Extra Dimension"

nsganetv2

[ECCV2020] NSGANetV2: Evolutionary Multi-Objective Surrogate-Assisted Neural Architecture Search

numpy-ml

Machine learning, in numpy