Detect file content types with deep learning

Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

A Keras port of Single Shot MultiBox Detector

My first Python repo with codes in Machine Learning, NLP and Deep Learning with Keras and Theano

Port of Single Shot MultiBox Detector to Keras

A lightweight header-only library for using Keras (TensorFlow) models in C++.

PyTorch to Keras model convertor

Train a state-of-the-art yolov3 object detector from scratch!

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

Collection of Keras models used for classification

Keras implementation of a ResNet-CAM model

To classify video into various classes using keras library with tensorflow as back-end.

Deep-learning model presented in "DataStories at SemEval-2017 Task 4: Deep LSTM with Attention for Message-level and Topic-based Sentiment Analysis".

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

A collection of Audio and Speech pre-trained models.

K-CAI NEURAL API - Keras based neural network API that will allow you to create parameter-efficient, memory-efficient, flops-efficient multipath models with new layer types. There are plenty of examples and documentation.

Object classification with CIFAR-10 using transfer learning

Tensorflow-Keras implementation of SimCLR: Simple Framework for Contrastive Learning of Visual Representations by Chen et al. (2020)

conditional variational autoencoder written in Keras [not actively maintained]

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