Show HN: DeepZoo – Collection of Deep Learning ready to use trained models
GitHub - iitzco/deepzoo: :wolf: :whale2: :monkey: Deep Learning model Zoo

  

Problem
It is often difficult to be able to run inference on trained models of open source projects. This is mainly because most deep learning repos are all about describing new architectures, explaining training processes and/or publishing amazing metric results. The focus is more on the model description and explanation rather than on the model use.
When we want to run some model, we often encounter complex installation steps or even model unavailability (train it yourself!).
Goal
The goal of this repo is to provide a place where we can make use of the trained models. Each model will be hosted in it's own site where a README will guide the user over simple and easy steps on how to run the model (often involving an auxiliary class also provided in the site). All models will be also hosted on this repo, under the releases section.
Contribute! 🙌
The only way to grow this collection is with your help. If you know how to run a traditional model and/or you built one and you wish to share it, you're welcome. Read contribute.md.
Note
Python only for now! 🐍
How to use


Pick a category.
Pick the task
Pick the model and go to the model site!


Categories:
This index will take you to all models of the category, regardless framework

Computer Vision
Natural Language Processing
Audio
Other

Computer Vision tasks

Image Classification
Object Detection
Pose Estimation
Face Detection
Instance Segmentation
Image Enhancement
Image Captioning
Other

Natural Language Processing tasks

Speech Translation

Audio tasks

Speech To Text


Image Classification

Inception trained on ImageNet: Classify entire images into 1000 classes, like "Zebra", "Panda", and "Dishwasher".

Object Detection

SSD MobileNet trained on Coco: Locate and classify objects into 80 classes with high speed.
FasterRCNN Resnet 50 trained Coco: Locate and classify objects into 80 classes with a high accuracy.
YOLOv2 trained Coco: Locate and classify objects into 80 classes with high speed.

Pose Estimation

OpenPose trained on COCO Keypoint: Find body keypoints (knees, arms, eyes, hip, etc.) in an image.

Instance Segmentation

MaskRCNN Inception trained on COCO: Segment all objects intances given a color image.

Image Enhancement

Colorful Image Colorization: Colorize black and white images!

Image Captioning

im2txt: Caption an image. Implementation of Show And Tell

Other Computer Vision  Models

Fast Style Transfer: Add styles from famous paintings to any photo.


Speech To Text

Deep Speech: Convert speech audio to text. Based on mozilla/DeepSpeech

