Pinned Repositories
aci-whale-optimization
Code for data clustering with the whale optimization algorithm
adversarial-attacks-pytorch
PyTorch implementation of adversarial attacks.
Adversarial_Audio
adversarial_examples
对抗样本
annt
attack-and-defense-methods
A curated list of papers of adversarial examples and defense methods.
Auto-PyTorch
Automatic architecture search and hyperparameter optimization for PyTorch
automated-feature-engineering
Automated feature engineering in Python with Featuretools
awesome-collection-of-google-colab-notebooks
Please COLLABORATE in building a collection of google COLAB notebooks
Synthetic-data-gen
Various methods for generating synthetic data for data science and ML
snokh's Repositories
snokh/Synthetic-data-gen
Various methods for generating synthetic data for data science and ML
snokh/adversarial-attacks-pytorch
PyTorch implementation of adversarial attacks.
snokh/adversarial_examples
对抗样本
snokh/annt
snokh/attack-and-defense-methods
A curated list of papers of adversarial examples and defense methods.
snokh/Auto-PyTorch
Automatic architecture search and hyperparameter optimization for PyTorch
snokh/awesome-collection-of-google-colab-notebooks
Please COLLABORATE in building a collection of google COLAB notebooks
snokh/Awesome-Incremental-Learning
Awesome Incremental Learning
snokh/awesome-online-machine-learning
:bookmark_tabs: A curated list of online machine learning courses, software, and papers
snokh/Black-Box-Audio
Targeted Adversarial Examples for Black Box Audio Systems
snokh/colab
Continual Learning tutorials and demo running on Google Colaboratory.
snokh/CS487_Applied_Machine_Learning_Python
Implement basic machine learning tasks, such as classification, regression, clustering, etc.
snokh/CVPR-Research-Papers
This repository contains all the research papers from the CVPR (Computer Vision and Pattern Recognition) conference of the year 2013 to 2020.
snokh/DeepClustering
Methods and Implements of Deep Clustering
snokh/exponential-moving-average-normalization
PyTorch implementation of EMAN for self-supervised and semi-supervised learning: https://arxiv.org/abs/2101.08482
snokh/Genetic-Algorithm-Image
Image replication using a genetic algorithm
snokh/Hands-On-Machine-Learning
Contains Jupyter Notebooks/Resources provided by the author and my work on problem sets.
snokh/Hybridized-Harris-hawk-whale-optimization-algorithm
Uses Harris Hawk and Whale Nature Inspired Algorithm to Train the weights of Neural Network. An approach to adjust the parameters of NN connection weights using the hybrid of Harris Hawk Optimization and Whale Optimization algorithm was proposed. The results showed that the hybrid algorithm has been successfully applied to train neural networks. The results showed that there is no superiority of one algorithm over another, however, the results of the proposed algorithm are a competitive alternative to other P-Metaheuristic algorithms. Hybrid Harris Hawk with Whale optimization to train weights of the neural network was used to increase the efficiency of fraud detection and cancer datasets. Our method for anomaly detection is a supervised method based on classification. The performance of Harris Hawk with Whale is acceptable and has promising results that nominate it for other optimization applications such as scheduling.
snokh/icml-nips-iclr-dataset
Papers, authors and author affiliations from ICML, NeurIPS and ICLR 2006-2021
snokh/Machine-Learning-with-Python
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
snokh/odin
A simple and effective method for detecting out-of-distribution images in neural networks.
snokh/Optimization-Python
General optimization (LP, MIP, QP, continuous and discrete optimization etc.) using Python
snokh/pyswarms
A research toolkit for particle swarm optimization in Python
snokh/rainbow-memory
Official pytorch implementation of Rainbow Memory (CVPR 2021)
snokh/sis
Simple image search engine
snokh/swarmlib
This repository implements several swarm optimization algorithms and visualizes them. Implemented algorithms: Particle Swarm Optimization (PSO), Firefly Algorithm (FA), Cuckoo Search (CS), Ant Colony Optimization (ACO), Artificial Bee Colony (ABC), Grey Wolf Optimizer (GWO) and Whale Optimization Algorithm (WOA)
snokh/Whale-Optimization-Algorithm-for-Feature-Selection
Application of Whale Optimization Algorithm (WOA) in the feature selection tasks.
snokh/Whale-Optimization-for-Feature-Selection
snokh/wiki
ContinualAI Wiki: a collaborative wiki on Continual/Lifelong Machine Learning
snokh/wikirec
NLP recommendation engine based on Wikipedia data