Segmentation models with pretrained backbones. Keras and TensorFlow Keras.
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Updated
Jan 4, 2022 - Python
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Segmentation models with pretrained backbones. Keras and TensorFlow Keras.
A Keras port of Single Shot MultiBox Detector
Python codes in Machine Learning, NLP, Deep Learning and Reinforcement Learning with Keras and Theano
Port of Single Shot MultiBox Detector to Keras
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.
Object classification with CIFAR-10 using transfer learning
A collection of Audio and Speech pre-trained models.
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.
An open-source platform for automating tasks using machine learning models
Tensorflow - Very Deep Convolutional Neural Networks For Raw Waveforms - https://arxiv.org/pdf/1610.00087.pdf
Bidirectional Attention Flow for Machine Comprehension implemented in Keras 2
A very simple project to create a rest backend for serving a neural network model based on keras
Transfer pre-trained VRN model from torch to Keras/Tensorflow
Extending Keras to support tfrecord dataset
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
Extracting relevant information from resume using deep learning.
Keras implementation of sketch inversion using deep convolution neural networks (synthesising photo-realistic images from pencil sketches)
A tutorial exploring multiple approaches to deploy a trained TensorFlow (or Keras) model or multiple models for prediction.
Simple keras chat bot using seq2seq model with Flask serving web
Deep learning, architecture and hyper parameters search with genetic algorithms
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