Repository Index

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.

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network

• tensorlayer
• tensorflow
• super-resolution
• gan

Translated[Captcha Recognition - Training] This project is based on CNN/ResNet/DenseNet+GRU/LSTM+CTC/CrossEntropy to realize verification code identification. This project is only for training the model.

• captcha-recognition
• tensorflow-tutorials
• ocr
• tensorflow

Translateduse cnn recognize captcha by tensorflow. This project targets character-based image captchas, using tensorflow to implement a convolutional neural network for captcha recognition.

• python
• cnn
• tensorflow

R-CNN: Regions with Convolutional Neural Network Features

Computer Vision library for human-computer interaction. It implements Head Pose and Gaze Direction Estimation Using Convolutional Neural Networks, Skin Detection through Backprojection, Motion Detection and Tracking, Saliency Map.

• convolutional-neural-networks
• motion-tracking
• color-detection
• face-detection

PointCNN: Convolution On X-Transformed Points (NeurIPS 2018)

• pointcloud
• convolutional-neural-networks
• deep-neural-networks
• machine-learning

MatConvNet: CNNs for MATLAB

High level network definitions with pre-trained weights in TensorFlow

• tensorflow
• model
• zoo
• deep-learning

LLVIP: A Visible-infrared Paired Dataset for Low-light Vision

• computer-vision
• visible-infrared
• low-light-image
• image-fusion

in progress

• tensorflow
• cnn
• lstm
• nlp

CNN visualization tool in TensorFlow

• tensorflow
• tensorboard
• convolutional-neural-networks
• cnn

Build fully-functioning computer vision models with PyTorch

• object-detection
• machine-learning
• computer-vision
• python

food image to recipe with deep convolutional neural networks.

• convolutional-neural-networks
• keras
• chef
• deep-learning

TranslatedCNN online handwritten Chinese recognition.

• cnn
• handwrite
• recognition
• chinese

Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Neural Networks

• caffe
• mtcnn

[Reimplementation Antol et al 2015] Keras-based LSTM/CNN models for Visual Question Answering

TranslatedCNN | Keras/PyTorch | CAPTCHA recognition

• captcha
• cnn-keras
• machine-learning
• pytorch-cnn

Translated12306 captcha recognition based on deep learning

• 12306
• captcha
• recognizer
• deep-learning

Usiigaci: stain-free cell tracking in phase contrast microscopy enabled by supervised machine learning

• tensorflow
• python3
• keras
• resnet-101

This project shows how to use CNN to perform Chinese character recognition, a much more complicated task compared to MNIST digit recognition.

TranslatedCaptcha recognition implemented with a convolutional neural network

• neural-network
• cnn-keras
• tensorflow

A simple, flexible, and extensible template for PyTorch. It's beautiful.

• deep-learning
• computer-vision
• cnn
• pytorch

Face detection using deep learning.

• face-detection
• faster-rcnn
• rcnn
• object-detection