174 Open source projects that are alternatives of or similar to keras_tfrecord

Deep Learning using Rectified Linear Units (ReLU)

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

Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

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RNN(Recurrent Nerural network) model which recognize hand-gestures drawing 5 figures.

A tutorial exploring multiple approaches to deploy a trained TensorFlow (or Keras) model or multiple models for prediction.

Keras implementation of a ResNet-CAM model

Bidirectional Attention Flow for Machine Comprehension implemented in Keras 2

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PyTorch to Keras model convertor

A collection of Audio and Speech pre-trained models.

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An implementation of Faster R-CNN applied to vehicle detection.

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Brainy is a virtual MRI analyzer. Just upload the MRI scan file and get 3 different classes of tumors detected and segmented. In Beta.

Filter visualization, Feature map visualization, Guided Backprop, GradCAM, Guided-GradCAM, Deep Dream

tensorflow object detection api helper tool ( custom object detection )

Tensorflow Implementation of FaceNet: A Unified Embedding for Face Recognition and Clustering to find the celebrity whose face matches the closest to yours.

If you've always wanted to learn about deep-learning but don't know where to start, then you might have stumbled upon the right place!

Uncertainty-Wizard is a plugin on top of tensorflow.keras, allowing to easily and efficiently create uncertainty-aware deep neural networks. Also useful if you want to train multiple small models in parallel.

Smart India Hackathon 2019 project given by the Department of Atomic Energy

Recurrent Neural Network for generating piano MIDI-files from audio (MP3, WAV, etc.)

An attempt at the implementation of GLOM, Geoffrey Hinton's paper for emergent part-whole hierarchies from data

Implementation of a Neural Network that can detect whether a video is in-game or not

Generating video descriptions using deep learning in Keras

babble-rnn is a research project in the use of machine learning to generate new speech by modelling human speech audio, without any intermediate text or word representations. The idea is to learn to speak through imitation, much like a baby might.

Recurrent Neural Network (LSTM) by using TensorFlow and Keras in Python for BitCoin price prediction

Deep-learning model presented in "DataStories at SemEval-2017 Task 6: Siamese LSTM with Attention for Humorous Text Comparison".

Potato Disease Classification - Training, Rest APIs, and Frontend to test.

Code for DCASE 2020 task 1a and task 1b.

a small collection of models implemented in keras, including matrix factorization(recommendation system), topic modeling, text classification, etc. Runs on tensorflow.

15+ Machine/Deep Learning Projects in Ipython Notebooks

🔎 Monitor deep learning model training and hardware usage from your mobile phone 📱

Keras implementation of "A Neural Algorithm of Artistic Style"

Neural network to classify certain styles of Electronic music

Using ML to create a ForEx trader to invest my personal finances to get rid of student debt

Lightweight CRNN for OCR (including handwritten text) with depthwise separable convolutions and spatial transformer module [keras+tf]

深度学习相关代码

Transfer pre-trained VRN model from torch to Keras/Tensorflow

Keras MNIST for Handwriting Detection

Artificial intelligence/machine learning course at UCF in Spring 2020 (Fall 2019 and Spring 2019)

Keras model and tensorflow optimization of 'improved Training of Wasserstein GANs'

Hierarchical Attention Networks for Document Classification in Keras

Translating English sentences to Marathi using Neural Machine Translation

Kervolution implementation using TF2.0

I have used FER2013 dataset and try to build the Facial emotion recognition using Keras

Open solution to the Cdiscount’s Image Classification Challenge

A High Level Python Library to empower students, developers to build applications and systems enabled with computer vision capabilities.

I am taking up the #100DaysOfMLCode Challenge 😎

[Lumiata COVID-19 Winner] COVID Immunity testing results registered to the Blockchain for healthcare safety.

Implementing Deep learning in R using Keras and Tensorflow packages for R and implementing a Multi layer perceptron Model on MNIST dataset and doing Digit Recognition

Implementation of One Shot Learning using Convolutional Siamese Networks on Omniglot Dataset

Detect Covid-19 with Chest X-Ray Data

TF2 Deep FloorPlan Recognition using a Multi-task Network with Room-boundary-Guided Attention. Enable tensorboard, quantization, flask, tflite, docker, github actions and google colab.

Gaussian Mixture Convolutional AutoEncoder applied to CT lung scans from the Kaggle Data Science Bowl 2017

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