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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
A lightweight header-only library for using Keras (TensorFlow) models in C++.
Port of Single Shot MultiBox Detector to Keras
PyTorch to Keras model convertor
Example of Multiple Multivariate Time Series Prediction with LSTM Recurrent Neural Networks in Python with Keras.
Train a state-of-the-art yolov3 object detector from scratch!
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".
A collection of Audio and Speech pre-trained models.
Distributed Keras Engine, Make Keras faster with only one line of code.
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)
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
Serving a keras model (neural networks) in a website with the python Django-REST framework.