Skip to content

Latest commit

 

History

History
50 lines (43 loc) · 3.95 KB

target.md

File metadata and controls

50 lines (43 loc) · 3.95 KB

Target models

Below is a list of models that we would like to have in the model zoo in the near future. Please refer to the contribution guidelines to contribute a model.

CNN models

Model Reference
Gender Detection Age and Gender Classification using Convolutional Neural Networks
Single Shot Detector SSD: Single Shot Multi Detector
Super Resolution Image Super resolution using deep convolutional networks
Face Detection A Convolutional Neural Network Cascade for Face Detection
Face Detection ArcFace: Additive Angular Margin Loss for Deep Face Recognition
Semantic Segmentation Fully Convolutional Networks for Semantic Segmentation
Object Detection & Segmentation Faster-RCNN
Object Detection & Segmentation Mask-RCNN
Object Detection & Segmentation YOLO v2 / v3

GAN models

Model Reference
Text to Image Generative Adversarial Text to image Synthesis
Style Transfer Unpaired Image to Image Translation using Cycle consistent Adversarial Network
Sound Generative models WaveNet: A Generative Model for Raw Audio

NLP models

Model Reference
Speech Recognition Speech recognition with deep recurrent neural networks
Text To Speech Deep voice: Real time neural text to speech
Language Model Deep Neural Network Language Models
Machine Translation Neural Machine Translation by jointly learning to align and translate
Machine Translation Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation

Models using Image as well as NLP

Model Reference
Visual Question Answering VQA: Visual Question Answering
Visual Question Answering Yin and Yang: Balancing and Answering Binary Visual Questions
Visual Question Answering Making the V in VQA Matter: Elevating the Role of Image Understanding in Visual Question Answering
Visual Dialog Visual Dialog

Other interesting models

Model Reference
Time Series Forecasting Modeling Long- and Short-Term Temporal Patterns with Deep Neural Networks
Recommender systems DropoutNet: Addressing Cold Start in Recommender Systems
Collaborative filtering
Autoencoders

Want other models in this Model Zoo? Go ahead and raise a GitHub issue outlining details and update the above list to call the community for contribution.