awesome-tensorlayer

A curated list of dedicated resources and applications
https://github.com/tensorlayer/awesome-tensorlayer

Last synced: about 22 hours ago
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2. General Computer Vision
- 1.2 DatasetAPI and TFRecord Examples
  - Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization
  - OpenPose: Real-time multi-person keypoint detection
  - InsignFace - Additive Angular Margin Loss for Deep Face Recognition
  - Spatial-Transformer-Nets (STN)
  - U-Net Brain Tumor Segmentation
  - Image2Text: im2txt
4. GAN
- 1.2 DatasetAPI and TFRecord Examples
  - DCGAN
  - CycleGAN - convolution based on the paper by [[J. Zhu et al, 2017]](https://arxiv.org/abs/1703.10593).
  - SRGAN - A Super Resolution GAN based on the paper by [[C. Ledig et al, 2016]](https://arxiv.org/abs/1609.04802).
  - GAN-CLS for Text to Image Synthesis
  - BEGAN
  - BiGAN
  - Attention CycleGAN - guided Image-to-Image Translation
  - MoCoGAN
  - InfoGAN
  - Lifelong GAN
  - Unsupervised Image-to-Image Translation with Generative Adversarial Networks - Im2Im)
  - DAGAN
  - BiGAN
5. Natural Language Processing
- 5.1 ChatBot
  - Seq2Seq Chatbot - seq2seq).
- 5.5 Spam Detection
  - Chinese Spam Detector
- 5.2 Text Generation
  - Text Generation with LSTMs - Generating Trump Speech.
  - code1 - effectiveness/).
- 5.3 Text Classification
  - FastText Classifier
- 5.4 Word Embedding
  - Minimalistic Implementation of Word2Vec
6. Reinforcement Learning
- 5.5 Spam Detection
  - DRL Zoo for Industry
  - DRL Tutorial for Academic
7. (Variational) Autoencoders
- 5.5 Spam Detection
  - Variational Autoencoder
  - Variational Autoencoder
1. Basics Examples
- 1.1 MNIST and CIFAR10
- 1.2 DatasetAPI and TFRecord Examples
3. Quantization Networks
- 1.2 DatasetAPI and TFRecord Examples
8. Pretrained Models
- 5.5 Spam Detection
  - here
9. Data and Model Managment Tools
- 5.5 Spam Detection

Programming Languages

Categories

4. GAN 13 1. Basics Examples 13 2. General Computer Vision 6 5. Natural Language Processing 6 3. Quantization Networks 5 9. Data and Model Managment Tools 4 7. (Variational) Autoencoders 2 6. Reinforcement Learning 2 8. Pretrained Models 1

Sub Categories

1.2 DatasetAPI and TFRecord Examples 29 5.5 Spam Detection 10 1.1 MNIST and CIFAR10 8 5.2 Text Generation 2 5.3 Text Classification 1 5.1 ChatBot 1 5.4 Word Embedding 1

Keywords

tensorlayer 17 tensorflow 15 gan 8 deep-learning 5 generative-adversarial-network 3 cnn 3 computer-vision 2 super-resolution 1 srgan 1 tensorlayerx 1 dcgan 1 image-captioning 1 unet 1 medical-imaging 1 tensorflow-tutorials 1 spatial-transformer-network 1 facerecognition 1 tensorrt 1 pose-estimation 1 openpose 1 neural-networks 1 mobilenet 1 distributed-training 1 style-transfer 1 mri-reconstruction 1 vggl16 1 variational-autoencoder 1 celeba-dataset 1 reinforcement-learning-practices 1 reinforcement-learning 1 paddepaddle 1 mindspore 1 deep-reinforcement-learning 1 antispam 1 rnn 1 python 1 nlp 1 lstm 1 corpus 1 chatbot 1 chat 1 bot 1 infogan 1 generative-adversarial-networks 1 text-to-image 1 vgg19 1 vgg16 1 vgg 1 deepdream 1

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Data

Tools

Indexes

Applications

Experiments

Awesome

awesome-tensorlayer

2. General Computer Vision

1.2 DatasetAPI and TFRecord Examples

4. GAN

1.2 DatasetAPI and TFRecord Examples

5. Natural Language Processing

5.1 ChatBot

5.5 Spam Detection

5.2 Text Generation

5.3 Text Classification

5.4 Word Embedding

6. Reinforcement Learning

5.5 Spam Detection

7. (Variational) Autoencoders

5.5 Spam Detection

1. Basics Examples

1.1 MNIST and CIFAR10

1.2 DatasetAPI and TFRecord Examples

3. Quantization Networks

1.2 DatasetAPI and TFRecord Examples

8. Pretrained Models

5.5 Spam Detection

9. Data and Model Managment Tools

5.5 Spam Detection