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The world's simplest facial recognition api for Python and the command line
💫 Industrial-strength Natural Language Processing (NLP) in Python
Image-to-Image Translation in PyTorch
Style transfer, deep learning, feature transform
A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities
Official Tensorflow implementation of U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Image Translation (ICLR 2020)
Real-time face detection and emotion/gender classification using fer2013/imdb datasets with a keras CNN model and openCV.
Simple Python style checker in one Python file
A tool that automatically formats Python code to conform to the PEP 8 style guide.
(unofficial) Googletrans: Free and Unlimited Google translate API for Python. Translates totally free of charge.
Layers Outputs and Gradients in Keras. Made easy.
Implements face recognition algorithms for MATLAB/GNU Octave and Python.
Simple yet powerful automation stuffs.
A clothing retrieval and visual recommendation model for fashion images.
dresses segmentation from any background
Simple image retrival on deep-fashion dataset with pytorch - A course project
Flipkart's visual search and recommendation system
Local Binary Patterns implementation using Python3 and OpenCV
kmswlee / UGATIT
Forked from taki0112/UGATITOfficial Tensorflow implementation of U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Image Translation (ICLR 2020)
👯 A Python implementation of the famous Eigenfaces algorithm for face recognition, implemented and tested over the AT&T face data set.
Content-based Clothing Image Retrieval Using Deep Features
Samples codes for natural language processing in Japanese
Official code of paper: MovingFashion: a Benchmark for the Video-to-Shop Challenge
FCN, U-Net models implementation in TensorFlow for fashion clothing parsing
The goal of this project was to develop a Face Recognition application using a Local Binary Pattern approach and, using the same approach, develop a real time Face Recognition application.
This is an implementation of compact bilinear CNN using keras