BethXu

BethXu's Stars

• relatedcode/ProgressHUD

  ProgressHUD is a lightweight and easy-to-use HUD for iOS. Over 5000+ animations. ‼️

  Language:Swift2.8k469

• CombineCommunity/rxswift-to-combine-cheatsheet

  RxSwift to Apple’s Combine Cheat Sheet

  Language:Ruby2.1k126

• pezy/LeetCode

  :pencil2: LeetCode solutions in C++ 11 and Python3

  Language:C++3.5k981

• scikit-learn-contrib/imbalanced-learn

  A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning

  Language:Python6.9k1.3k

• guybedo/minos

  Deep learning, architecture and hyper parameters search with genetic algorithms

  Language:Python5210

• DEAP/deap

  Distributed Evolutionary Algorithms in Python

  Language:Python5.9k1.1k

• nemanja-m/gaps

  A Genetic Algorithm-Based Solver for Jigsaw Puzzles :cyclone:

  Language:Python741110

• harvitronix/neural-network-genetic-algorithm

  Evolving a neural network with a genetic algorithm.

  Language:Python697237

• PytLab/gaft

  A Genetic Algorithm Framework in Python (not for production level)

  Language:Python739218

• yangboz/LotteryPrediction

  :full_moon_with_face: 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 The Gambler's Fallacy" existed.

  Language:Jupyter Notebook277128

• erikbern/ann-benchmarks

  Benchmarks of approximate nearest neighbor libraries in Python

  Language:Python5k758

• RedaOps/ann-visualizer

  A python library for visualizing Artificial Neural Networks (ANN)

  Language:Python1.2k216

• HanXiaoyang/ML-examples

  some machine learning examples

  Language:Jupyter Notebook77122

• nickwalker037/Credit-Card-Fraud-Detection

  Using undersampling techniques and logistic regression in order to predict credit card fraud. Kernel for the Kaggle dataset "Credit Card Fraud Detection"

  Language:Python61

• csioa/FraudDetection

  Training fraud detection models and exploring undersampling, oversampling and a hybrid method

  Language:Jupyter Notebook33

• marcelobeckmann/knnund

  Implementation of KNN Undersampling method in several languages, as proposed in the original paper.

  Language:Jupyter Notebook31

• nghiduong90/FileOperation

  read data from file and convert that data to image

  Language:Java1

• luteberget/ofxColorMap

  Convert scalar data (grayscale images) to pseudo-color images with linear segmented color maps.

  Language:C++255

• TensorVision/TensorVision

  A simple toolkit to easily apply image classification networks to your data.

  Language:Python11945

• KangHsi/PicPreTool

  Convert python binary files to raw image data. Example is cifar datasets

  Language:Python21

• lozuwa/impy

  Impy is a Python3 library with features that help you in your computer vision tasks.

  Language:Python11632

• eigenspek/DataImager

  Contains the DataImager library to convert datasets into Images to use with Neural Nets

  Language:Python21

• tonyyeung99/Market-Data-To-Image-Converter

  Language:Python1

• timestocome/Test-stock-prediction-algorithms

  Use deep learning, genetic programming and other methods to predict stock and market movements

  Language:Jupyter Notebook422152

• joeddav/devol

  Genetic neural architecture search with Keras

  Language:Python950112

• SudalaiRajkumar/Kaggle

  Codes for Kaggle Competitions

  Language:Jupyter Notebook509274

• Arturus/kaggle-web-traffic

  1st place solution

  Language:Jupyter Notebook1.8k666

• limexp/xgbfir

  XGBoost Feature Interactions Reshaped

  Language:Python42680

• jolibrain/deepdetect

  Deep Learning API and Server in C++14 support for PyTorch,TensorRT, Dlib, NCNN, Tensorflow, XGBoost and TSNE

  Language:C++2.5k561

• BethXu/Rong360

  用户贷款风险预测

  Language:Jupyter Notebook1