Stars
Matlab function that calculates the Gini coefficient
Minimum redundancy maximum relevance feature selection approach for temporal gene expression data.
It contains some of the novel feature selection algorithms I've developed
A Genetic Programming Approach to Designing CNN Architectures, In GECCO 2017 (oral presentation, Best Paper Award)
CNN architecture exploration using Genetic Algorithm
This project is the implementation of the "Automatically Designing CNN Architectures Using Genetic Algorithm for Image Classification" paper
[ECCV2020] NSGANetV2: Evolutionary Multi-Objective Surrogate-Assisted Neural Architecture Search
CMSC-678-ML-Project : Detection of COVID-19 in Pneumonia-affected Patients using Chest X-Ray Images with Transfer Learning
A Boosted Random Forest Classification model was implemented to predict the outcome of the CoV-2 positive patients in China. Based on multiple features.
A New Optimization Technique for Deep Neural Networks
NSGA-Net, a Neural Architecture Search Algorithm
Genetic Algorithms, Partical Swarm Optimization, Fuzzy Logic
Reference models and tools for Cloud TPUs.
Use evolutionary algorithm to optimize the weights in the neural network made from Keras
Code to validate the "Particle swarm optimization of deep neural networks architectures for image classification" paper.
A simple implementation of esrgan, which uses the pytorch framework.
人工智能学习路线图，整理近200个实战案例与项目，免费提供配套教材，零基础入门，就业实战！包括：Python，数学，机器学习，数据分析，深度学习，计算机视觉，自然语言处理，PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial…
Matlab code for Group-based Sparse Representation for Image Restoration, TIP2014
Face classification based on sparse representation
A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"
Keras Implementation of Neural Style Transfer from the paper "A Neural Algorithm of Artistic Style" (http://arxiv.org/abs/1508.06576) in Keras 2.0+
A Tensorflow implementation of AnimeGAN for fast photo animation ! This is the Open source of the paper 「AnimeGAN: a novel lightweight GAN for photo animation」, which uses the GAN framwork to trans…
Code example for the paper, "Adversarial Explanations for Understanding Image Classification Decisions and Improved Neural Network Robustness."
Text to image synthesis using thought vectors
A Tensorflow implementation of the Text Conditioned Auxiliary Classifier Generative Adversarial Network for Generating Images from text descriptions (https://arxiv.org/abs/1703.06412)
Demonstration on how binary grey wolf optimization (BGWO) applied in the feature selection task.
The binary version of Differential Evolution (DE), named as Binary Differential Evolution (BDE) is applied for feature selection tasks.
rBAS包中文文档 the Chinese documents of BAS algorithm