Shapash is a Python library which aims to make machine learning interpretable and understandable by everyone. It provides several types of visualization that display explicit labels that everyone can understand.
Fashionpedia is a new dataset which consists of two parts: (1) an ontology built by fashion experts containing 27 main apparel categories, 19 apparel parts, 294 fine-grained attributes and their relationships; (2) a dataset with e
UltraOpt is a simple and efficient library to minimize expensive and noisy black-box functions, it can be used in many fields, such as HyperParameter Optimization(HPO) and Automatic Machine Learning(AutoML).
CLIP (Contrastive Language-Image Pre-Training) is a neural network trained on a variety of (image, text) pairs. It can be instructed in natural language to predict the most relevant text snippet, given an image, without directly o
Usable implementation of Emerging Symbol Binding Network (ESBN), in Pytorch. They propose to have the main recurrent neural network interact with the input image representations only through a set of memory key / values.
This repository implements the Householder transformation algorithm for calculating orthogonal matrices and Stiefel frames. The algorithm is implemented as a Python package with differentiable bindings to PyTorch