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ProgressHUD is a lightweight and easy-to-use HUD for iOS. Over 5000+ animations.
RxSwift to Apple’s Combine Cheat Sheet
A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
Deep learning, architecture and hyper parameters search with genetic algorithms
A Genetic Algorithm-Based Solver for Jigsaw Puzzles 🌀
Evolving a neural network with a genetic algorithm.
A Genetic Algorithm Framework in Python (not for production level)
🌝 Lottery prediction besides of following "law of proability","Probability: Independent Events", there are still "Saying "a Tail is due", or "just one more go, my luck is due to change" is called T...
Benchmarks of approximate nearest neighbor libraries in Python
A python library for visualizing Artificial Neural Networks (ANN)
some machine learning examples
Using undersampling techniques and logistic regression in order to predict credit card fraud. Kernel for the Kaggle dataset "Credit Card Fraud Detection"
Training fraud detection models and exploring undersampling, oversampling and a hybrid method
Implementation of KNN Undersampling method in several languages, as proposed in the original paper.
read data from file and convert that data to image
Convert scalar data (grayscale images) to pseudo-color images with linear segmented color maps.
A simple toolkit to easily apply image classification networks to your data.
Convert python binary files to raw image data. Example is cifar datasets
Impy is a Python3 library with features that help you in your computer vision tasks.
Contains the DataImager library to convert datasets into Images to use with Neural Nets
Use deep learning, genetic programming and other methods to predict stock and market movements
Codes for Kaggle Competitions
Deep Learning API and Server in C++14 support for PyTorch,TensorRT, Dlib, NCNN, Tensorflow, XGBoost and TSNE