awesome-tensorlayer
github.com/tensorlayer/awesome-tensorlayer ↗A curated list of dedicated resources and applications
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GitHub Stars
49
Curated Resources
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Categories
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1. Basics Examples2. General Computer Vision3. Quantization Networks4. GAN5. Natural Language Processing6. Reinforcement Learning7. (Variational) Autoencoders8. Pretrained Models9. Data and Model Managment Tools
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Installation instructions →What's inside
2. General Computer Vision
- Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization
- Image2Text: im2txt
- InsignFace
Additive Angular Margin Loss for Deep Face Recognition
- OpenPose: Real-time multi-person keypoint detection
- Spatial-Transformer-Nets (STN)
- U-Net Brain Tumor Segmentation
3. Quantization Networks
5. Natural Language Processing
- Chinese Spam Detector5.5 Spam Detection
- code15.2 Text Generation
- FastText Classifier5.3 Text Classification
- Minimalistic Implementation of Word2Vec5.4 Word Embedding
- Seq2Seq Chatbot5.1 ChatBot
- Text Generation with LSTMs5.2 Text Generation
Generating Trump Speech.
1. Basics Examples
- CIFAR10 Static Example with Data Augmentation1.1 MNIST and CIFAR10
- Convert CIFAR10 in TFRecord Format for performance optimization1.2 DatasetAPI and TFRecord Examples
- Downloading and Preprocessing PASCAL VOC1.2 DatasetAPI and TFRecord Examples
- MNIST Dynamic Example1.1 MNIST and CIFAR10
- MNIST Dynamic Example for Seperated Models1.1 MNIST and CIFAR10
- MNIST Simplest Example1.1 MNIST and CIFAR10
9. Data and Model Managment Tools
6. Reinforcement Learning
8. Pretrained Models
Showing a sample of 49 resources. View the full list on GitHub →