Tensorflow
Showing 26 of 350 projects
A TensorFlow-based model that generates text summaries using pointer-generator networks, deployable as a Docker container.
A TensorFlow-based model that generates English-language text similar to news articles from the One Billion Word Benchmark dataset.
Profile TensorFlow Lite and OpenCV DNN models on Android devices with performance metrics and delegate options.
A TensorFlow-based GAN model that automatically adds color to black and white images.
A deep learning model that classifies sports videos into 487 different sports activities using a 3D convolutional neural network.
Generates short audio clips of speech commands and lo-fi instrumental samples using a WaveGAN-based generative adversarial neural network.
A deep learning-based password cracking tool that uses adaptive dynamic mangling rules to reduce bias in real-world password strength modeling.
A language generation model that creates English text similar to Yelp reviews using a recurrent neural network with LSTM layers.
TensorFlow implementation of a generative adversarial network for video generation with scene dynamics.
A high-level TensorFlow framework that reduces boilerplate code and adds advanced features for deep learning applications.
A React Native app using TensorFlow.js and MobileNet for real-time object detection on mobile devices.
A TensorFlow implementation of Dynamic Capacity Networks, which reduces computations by applying high-capacity networks to selected input patches.
A lightweight face detection and recognition system designed for IoT devices like Raspberry Pi, using Microsoft's Face API.
Generate word embedding vectors from text files using the Swivel algorithm on IBM Watson Machine Learning.
A deep learning model that predicts drug response by fusing multi-omics data with graph convolutional networks.
A simple interface for converting ROOT nTuples to NumPy arrays and using them in TensorFlow for neural network training.
TensorFlow implementation of Single Image Random Dot Stereograms for 3D data visualization in 2D images.
A single-script tool to set up and maintain TensorFlow machine learning projects with environment management and linting.
A collection of plug-and-play TensorFlow/Keras deep learning models and architectures for easy integration.
A framework for encrypted machine learning in TensorFlow using secure multi-party computation and homomorphic encryption.
A multi-channel neural network for predicting compound-protein interactions using molecular and protein sequence embeddings.
Creates artistic images using neural style transfer powered by distributed computing on the Golem network.
A curated list of resources for the Neuraxle machine learning framework, including examples, articles, courses, and community links.
A deep learning model that identifies and segments nuclei in microscopy images using Mask R-CNN.
A general-purpose U-Net implementation in Keras for image segmentation tasks.
Graph embedding framework implementing TransE, TransH, TransR, TransD, and TransSparse models for knowledge graph representation learning.
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