259 skills found · Page 1 of 9
borisbanushev / StockpredictionaiIn 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.
quark0 / DartsDifferentiable architecture search for convolutional and recurrent networks
meijieru / Crnn.pytorchConvolutional recurrent network in pytorch
bgshih / CrnnConvolutional Recurrent Neural Network (CRNN) for image-based sequence recognition.
liyaguang / DCRNNImplementation of Diffusion Convolutional Recurrent Neural Network in Tensorflow
tomepel / Technical Book DLThis note presents in a technical though hopefully pedagogical way the three most common forms of neural network architectures: Feedforward, Convolutional and Recurrent.
MaybeShewill-CV / CRNN TensorflowConvolutional Recurrent Neural Networks(CRNN) for Scene Text Recognition
ikostrikov / TensorFlow VAE GAN DRAWA collection of generative methods implemented with TensorFlow (Deep Convolutional Generative Adversarial Networks (DCGAN), Variational Autoencoder (VAE) and DRAW: A Recurrent Neural Network For Image Generation).
chnsh / DCRNN PyTorchDiffusion Convolutional Recurrent Neural Network Implementation in PyTorch
0x454447415244 / HandwritingRecognitionSystemHandwriting Recognition System based on a deep Convolutional Recurrent Neural Network architecture
LeiBAI / AGCRNAdaptive Graph Convolutional Recurrent Network
zhiyongc / Graph Convolutional LSTMTraffic Graph Convolutional Recurrent Neural Network
xuanjihe / Speech Emotion Recognitionspeech emotion recognition using a convolutional recurrent networks based on IEMOCAP
ksanjeevan / Crnn Audio ClassificationUrbanSound classification using Convolutional Recurrent Networks in PyTorch
sharathadavanne / Seld NetSound event localization, detection, and tracking of multiple overlapping and moving sources in 2D spherical space using convolutional recurrent neural network
taolei87 / RcnnRecurrent & convolutional neural network modules
haoxiangsnr / A Convolutional Recurrent Neural Network For Real Time Speech EnhancementA minimum unofficial implementation of the "A Convolutional Recurrent Neural Network for Real-Time Speech Enhancement" (CRN) using PyTorch
sushant097 / Handwritten Line Text Recognition Using Deep Learning With TensorflowUse Convolutional Recurrent Neural Network to recognize the Handwritten line text image without pre segmentation into words or characters. Use CTC loss Function to train.
tsinghua-fib-lab / Traffic Benchmark[TKDD 2023] Dynamic Graph Convolutional Recurrent Network for Traffic Prediction: Benchmark and Solution
rossgoodwin / NeuralsnapGenerates poetry from images using convolutional and recurrent neural networks
