jjboom

jjboom's Stars

• hczheng/Rong360

  用户贷款风险预测

  Language:Jupyter Notebook563318

• ipid/cookdata

  通过机器学习算法进行银行客户风险评估

  Language:Jupyter Notebook123

• sunwantong/China-Merchants-Bank-credit-card-Cente-User-purchase-forecast

  招商银行信用卡中心 消费金融场景下的用户购买预测 rank1

  Language:Python20471

• chenbingyan/bank-churn-model

  银行客户流失预警模型

  Language:Jupyter Notebook4223

• innerseacn/pyBankTransactions

  银行流水分析追踪

  Language:Python97

• etai83/lstm_stock_prediction

  This is an LSTM stock prediction using Tensorflow with Keras on top.

  Language:Jupyter Notebook231157

• SnehJain/Deep-Neural-Networks-For-Stock-Price-Prediction

  Comparative Analysis of Conv1D-LSTM with CNN , LSTM for Stock Price Prediction

  Language:Jupyter Notebook6022

• JEddy92/TimeSeries_Seq2Seq

  This repo aims to be a useful collection of notebooks/code for understanding and implementing seq2seq neural networks for time series forecasting. Networks are constructed with keras/tensorflow.

  Language:Jupyter Notebook604239

• Wizaron/deep-forecast-pytorch

  Wind Speed Prediction using LSTMs in PyTorch (https://arxiv.org/pdf/1707.08110.pdf)

  Language:Python17740

• tsauliu/VoiceRecognition

  VoiceRecognition python 2.7 API for xunfei

  Language:Python5657

• spytensor/pytorch-image-classification

  use pytorch to do image classfiication tasks

  Language:Python19885

• miraclewkf/ImageClassification-PyTorch

  Language:Python169111

• znxlwm/UGATIT-pytorch

  Official PyTorch implementation of U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Image Translation

  Language:Python2.5k477

• JiachuanDENG/Pytorch-CNN-Textual-RegressionModel-for-commodity-price-prediction

  CNN Textual RegressionModel for commodity price prediction

  Language:Python62

• cxy1997/MNIST-baselines

  Baseline classifiers on the polluted MNIST dataset, SJTU CS420 course project

  Language:Python6821

• suhoy901/GoogleNet_pytorch

  GoogleNet

  Language:Jupyter Notebook123

• weiaicunzai/pytorch-cifar100

  Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet, WideResNet)

  Language:Python4.2k1.2k

• hjy1312/GoogleNet-BN

  GoogleNet-BN,namely InceptionNetV2 based on pytorch.

  Language:Python1410

• xieQin/pytorch-captcha

  基于CNN的图像验证码识别，单个验证码识别成功率99%

  Language:Python205

• weiweitong/MachineLearning

  Machine Learning, ResNet recognize medical image, genetic algorithm solve TPS

  Language:C++11

• SingingData/StockPerformanceClassification

  Keras 1D CNN on Azure ML Workbench to classify 4 week stock performance based on text in public earnings statements

  Language:Jupyter Notebook12852

• hardyqr/CNN-for-Stock-Market-Prediction-PyTorch

  CNN for stock market prediction using raw data & candlestick graph.

  Language:Python16157

• philipxjm/Deep-Convolution-Stock-Technical-Analysis

  Uses Deep Convolutional Neural Networks (CNNs) to model the stock market using technical analysis. Predicts the future trend of stock selections.

  Language:Python591173

• dhingratul/Stock-Price-Prediction

  Stock price prediction using LSTM and 1D Convoltional Layer implemented in keras with TF backend on daily closing price of S&P 500 data from Jan 2000 to Aug 2016

  Language:Python13952

• vietsDeng/Stock-Prediction

  stock predict by cnn and lstm

  Language:Python3712

• kimber-chen/Tensorflow-for-stock-prediction

  Use Tensorflow to run CNN for predict stock movement. Hope to find out which pattern will follow the price rising.

  Language:Jupyter Notebook465226

• borisbanushev/stockpredictionai

  In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.

  4.1k1.6k

• zergtant/pytorch-handbook

  pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行

  Language:Jupyter Notebook20.2k5.4k

• aigamedev/scikit-neuralnetwork

  Deep neural networks without the learning cliff! Classifiers and regressors compatible with scikit-learn.

  Language:Python1.2k221

• yc-maltazard/BPNN_Python

  Python 建立的BP神经网络处理预测相关公交线路数据

  Language:Python3417