Neural Style Transfer
This is a Neural Style Transfer Model Implemented Using Tensorflow
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Text Cnn Tensorflow | 211 | 5 years ago | 3 | Python | ||||||
| Convolutional Neural Networks for Sentence Classification(TextCNN) implements by TensorFlow | ||||||||||
| Opentpod | 110 | 3 years ago | 5 | apache-2.0 | CSS | |||||
| Open Toolkit for Painless Object Detection | ||||||||||
| Stock Prediction | 24 | 6 years ago | 2 | gpl-3.0 | Python | |||||
| Machine learning pipeline for training TensorFlow models to forecast stock prices. Written in Python. | ||||||||||
| Neural Turing Machine | 22 | 7 years ago | 2 | Python | ||||||
| TensorFlow implementation of a Neural Turing Machine | ||||||||||
| Facial Expression Recognition | 17 | 6 years ago | 1 | Python | ||||||
| Facial-Expression-Recognition using tensorflow | ||||||||||
| Automatic Structured Pruning | 13 | 2 years ago | 1 | apache-2.0 | Python | |||||
| We have implemented a framework that supports developers to structured prune neural networks of Tensorflow Models | ||||||||||
| Self Driving Robot Using Neural Network | 9 | 3 years ago | mit | Python | ||||||
| This project introduces the autonomous robot which is a scaled down version of actual self-driving vehicle and designed with the help of neural network. The main focus is on building autonomous robot and train it on a designed track with the help of neural network so that it can run autonomously without a controller or driver on that specific track. The robot will stream the video to laptop which will then take decisions and send the data to raspberry pi which will then control the robot using motor driver. This motor driver will move the robot in required directions. Neural Network is used to train the model by first driving the robot on the specially designed track by labeling the images with the directions to be taken. After the model is trained it can make accurate predictions by processing the images on computer. This approach is better than conventional method which is done by extracting specific feature from images. | ||||||||||
| Texture Synthesis Using Convolutional Neural Networks | 8 | 5 years ago | 1 | Jupyter Notebook | ||||||
| Tensorflow implementation of paper - "Texture Synthesis Using Convolutional Neural Networks" | ||||||||||
| Domain Adversarial Neural Network | 7 | 3 years ago | mit | Python | ||||||
| Implementation of Domain Adversarial Neural Network in Tensorflow | ||||||||||
| Neural Style Transfer | 5 | 6 years ago | apache-2.0 | Python | ||||||
| This is a Neural Style Transfer Model Implemented Using Tensorflow | ||||||||||
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Neural Style