810 skills found · Page 1 of 27
jeffheaton / T81 558 Deep LearningT81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis
tensorspace-team / TensorspaceNeural network 3D visualization framework, build interactive and intuitive model in browsers, support pre-trained deep learning models from TensorFlow, Keras, TensorFlow.js
raghakot / Keras VisNeural network visualization toolkit for keras
leriomaggio / Deep Learning Keras TensorflowIntroduction to Deep Neural Networks with Keras and Tensorflow
philipperemy / Keras AttentionKeras Attention Layer (Luong and Bahdanau scores).
naiveHobo / InvoiceNetDeep neural network to extract intelligent information from invoice documents.
danielegrattarola / SpektralGraph Neural Networks with Keras and Tensorflow 2.
waleedka / HiddenlayerNeural network graphs and training metrics for PyTorch, Tensorflow, and Keras.
vlawhern / Arl EegmodelsThis is the Army Research Laboratory (ARL) EEGModels Project: A Collection of Convolutional Neural Network (CNN) models for EEG signal classification, using Keras and Tensorflow
advboxes / AdvBoxAdvbox is a toolbox to generate adversarial examples that fool neural networks in PaddlePaddle、PyTorch、Caffe2、MxNet、Keras、TensorFlow and Advbox can benchmark the robustness of machine learning models. Advbox give a command line tool to generate adversarial examples with Zero-Coding.
Hyperparticle / One Pixel Attack KerasKeras implementation of "One pixel attack for fooling deep neural networks" using differential evolution on Cifar10 and ImageNet
philipperemy / KeractLayers Outputs and Gradients in Keras. Made easy.
gmalivenko / Pytorch2kerasPyTorch to Keras model convertor
farizrahman4u / RecurrentshopFramework for building complex recurrent neural networks with Keras
harshbg / Sign Language Interpreter Using Deep LearningA sign language interpreter using live video feed from the camera.
umbertogriffo / Predictive Maintenance Using LSTMExample of Multiple Multivariate Time Series Prediction with LSTM Recurrent Neural Networks in Python with Keras.
pplonski / Keras2cppThis is a bunch of code to port Keras neural network model into pure C++.
paulgavrikov / VisualkerasVisualkeras is a Python package to help visualize Keras (either standalone or included in TensorFlow) neural network architectures. It allows easy styling to fit most needs. This module supports layered style architecture generation which is great for CNNs (Convolutional Neural Networks), and a graph style architecture, which works great for most models including plain feed-forward networks.
SciSharp / Keras.NETKeras.NET is a high-level neural networks API for C# and F#, with Python Binding and capable of running on top of TensorFlow, CNTK, or Theano.
JEddy92 / TimeSeries Seq2SeqThis 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.
