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

Fast and accurate AI powered file content types detection

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.

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

PyTorch to Keras model convertor

An open-source platform for automating tasks using machine learning models

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

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.

Keras implementation of a ResNet-CAM model

Collection of Keras models used for classification

Códigos Python com diferentes aplicações como técnicas de machine learning e deep learning, fundamentos de estatística, problemas de regressão de classificação. Os vídeos com as explicações teóricas estão disponíveis no meu canal do YouTube

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

Object classification with CIFAR-10 using transfer learning

conditional variational autoencoder written in Keras [not actively maintained]

Extracting relevant information from resume using deep learning.

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