This section is dedicated to provide resources that are mainly open source projects developed by TensorFlow. Those might be comprehensive tutorials on working example.
- TensorFlow-World: Concise and ready-to-use TensorFlow tutorials with detailed documentation
- TensorFlow-Tutorials: Introduction to deep learning based on Google’s TensorFlow framework
- TensorFlow Tutorials: Organized tutorials in TensorFlow
- TensorFlow-Examples: Providing working examples in TensorFlow
- Tensorflow Tutorials using Jupyter Notebook: TensorFlow tutorials written in Python plus Jupyter Notebook
- TensorFlow for Deep Learning Research: Code examples for the Stanford course CS 20SI
- TensorFlow Models: Machine learning models implemented in TensorFlow
- Tensorflow VGG16 and VGG19: Implementation of VGG 16 and VGG 19 based on tensorflow-vgg16 and Caffe to Tensorflow
- ResNet in TensorFlow: Implementation of Deep Residual Learning for Image Recognition
- Inception in TensorFlow: Train the Inception v3 architecture
- A TensorFlow implementation of DeepMind WaveNet paper: TensorFlow implementation of the WaveNet generative neural network architecture for audio generation
- 3D Convolutional Neural Networks for Speaker Verification: Implementation of 3D Convolutional Neural Networks for Speaker Verification application in TensorFlow.
- Domain Transfer Network (DTN): The implementation of Unsupervised Cross-Domain Image Generation in TensorFlow
- Neural Style: The Neural Style algorithm implementation that synthesizes a pastiche
- SqueezeNet in TensorFlow: Tensorflow implementation of SqueezeNet