A tutorial exploring multiple approaches to deploy a trained TensorFlow (or Keras) model or multiple models for prediction.

Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

RNN(Recurrent Nerural network) model which recognize hand-gestures drawing 5 figures.

Deep Learning using Rectified Linear Units (ReLU)

A collection of Audio and Speech pre-trained models.

PyTorch to Keras model convertor

Keras implementation of a ResNet-CAM model

Example of Multiple Multivariate Time Series Prediction with LSTM Recurrent Neural Networks in Python with Keras.

Bidirectional Attention Flow for Machine Comprehension implemented in Keras 2

PyTorch to Keras model convertor

Serving a keras model (neural networks) in a website with the python Django-REST framework.

Distributed Keras Engine, Make Keras faster with only one line of code.

Self driving car in GTAV with Deep Learning

babble-rnn is a research project in the use of machine learning to generate new speech by modelling human speech audio, without any intermediate text or word representations. The idea is to learn to speak through imitation, much like a baby might.

Deep-learning model presented in "DataStories at SemEval-2017 Task 6: Siamese LSTM with Attention for Humorous Text Comparison".

UNet for Multiclass Semantic Segmentation, on Keras, based on Segmentation Models' Unet libray

Code for DCASE 2020 task 1a and task 1b.

Facial Expression Recognition with Keras

Brainy is a virtual MRI analyzer. Just upload the MRI scan file and get 3 different classes of tumors detected and segmented. In Beta.

🔎 Monitor deep learning model training and hardware usage from your mobile phone 📱