Code and pre-trained models for Instance Segmentation track in Open Images Dataset
Disentangled Variational Auto-Encoder in TensorFlow / Keras (Beta-VAE)
📚 Text classification library with Keras
Keras callback function for stochastic weight averaging
Example of semantic segmentation in Keras
Build a deep learning model for predicting the named entities from text.
Keras implementation of R-MAC+ descriptors
Recurrent Neural Network (LSTM) by using TensorFlow and Keras in Python for BitCoin price prediction
A julia wrapper for https://keras.io
A Siamese similarity model for image similarity
Implementation of seq2seq model for Visual Storytelling Challenge (VIST) http://visionandlanguage.net/VIST/index.html
Paper: https://arxiv.org/abs/1702.02285
A Keras/Tensorflow compatible image data generator for TripletLoss
Applied weight tying technique to RNN based recommendation model. Implemented with Tensorflow and Keras.
Example of loading a Keras model into TensorRT C++ API
Keras implementation of DQN on ViZDoom environment
A tutorial exploring multiple approaches to deploy a trained TensorFlow (or Keras) model or multiple models for prediction.
A Platform for Real Time CNN Visualization
Used deep reinforcement learning to train a deep neural network to play tic-tac-toe and deployed using tensorflow.js.
Easy-to-use scripts for training and inferencing with Xception on your own dataset
Network Assembler is a simple way to create neural networks in Keras
Reproducing the paper "PADAM: Closing The Generalization Gap of Adaptive Gradient Methods In Training Deep Neural Networks" for the ICLR 2019 Reproduc...
Baseline of FashionAI Competition based on Keras.
Sentiment analysis of tweets in Russian using Convolutional Neural Networks (CNN) with Word2Vec embeddings.
A Keras Implementation of Attention_based Siamese Manhattan LSTM
Jupyter Notebooks and miscellaneous
Experiments logging & visualization
Lookahead mechanism for optimizers in Keras.
Keras implementation of a Variational Auto Encoder with a Concrete Latent Distribution
Toy Keras implementation of a seq2seq model with examples.
LSTM-CRF for NER with ConLL-2002 dataset
Feeding images of time series to Conv Nets! (Tensorflow + Keras)
This repository will contain the example detailed codes of Tensorflow and Keras, This repository will be useful for Deep Learning staters who find dif...
Draw your net
We provide GPU-enabled docker images including Keras, TensorFlow, CNTK, MXNET and Theano.
Keras implementation of layer which performs augmentations of images using GPU.
German Traffic Sign Recognition Benchmark, Keras implementation with Spatial Transformer Networks
keras를 이용한 딥러닝 기초 학습
Calling (TensorFlow) Python Program from C++
Unity In Editor Deep Learning Tools. Using KerasSharp, TensorflowSharp, Unity MLAgent. In-Editor training and no python needed.
Automatic feature engineering using Generative Adversarial Networks using TensorFlow.
Curated way to convert deep learning model to mobile⚡️
"Convolutional Neural Networks for Sentence Classification" (Kim 2014) - https://www.aclweb.org/anthology/D14-1181
使用 Keras 进行中文文本分类
keras implementation of cycle-gan
[Coursera] AI for Medicine Specialization by "deeplearning.ai".
Deep learning side channel privileged memory reader
Who is your doppelgänger and more with Keras face recognition
TensorFlow with R
Generative Adversarial Networks in Keras