Detect file content types with deep learning
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Updated
Jul 17, 2024 - Python
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
PyTorch to Keras model convertor
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.
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.
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
Extracting relevant information from resume using deep learning.
A very simple project to create a rest backend for serving a neural network model based on keras
Bidirectional Attention Flow for Machine Comprehension implemented in Keras 2
Extending Keras to support tfrecord dataset
Simple keras chat bot using seq2seq model with Flask serving web
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