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Gin provides a lightweight configuration framework for Python
Persistent/Immutable/Functional data structures for Python
TensorFlow Recommenders is a library for building recommender system models using TensorFlow.
Platform for designing and evaluating Graph Neural Networks (GNN)
Dense Passage Retriever - is a set of tools and models for open domain Q&A task.
Clean, modern, Python 3.6+ code generator & library for Protobuf 3 and async gRPC
A Python package to manage extremely large amounts of data
CleverCSV is a Python package for handling messy CSV files. It provides a drop-in replacement for the builtin CSV module with improved dialect detection, and comes with a handy command line applica…
A collection of pre-trained StyleGAN 2 models to download
NVTabular is a feature engineering and preprocessing library for tabular data designed to quickly and easily manipulate terabyte scale datasets used to train deep learning based recommender systems.
Visit PixelLib's official documentation https://pixellib.readthedocs.io/en/latest/
A Comparative Framework for Multimodal Recommender Systems
An end-to-end implementation of intent prediction with Metaflow and other cool tools
Python version of FullControl for toolpath design (and more) - the readme below is best source of information
Implementation and experiments of graph neural netwokrs, like gcn,graphsage,gat,etc.
Automatically monitor the evolving performance of Flask/Python web services.
Little Ball of Fur - A graph sampling extension library for NetworKit and NetworkX (CIKM 2020)
Open Bandit Pipeline: a python library for bandit algorithms and off-policy evaluation
A repository in preparation for open-sourcing lottery ticket hypothesis code.
Case Recommender: A Flexible and Extensible Python Framework for Recommender Systems
a Lightweight library for sequential learning agents, including reinforcement learning
Implementation of statistical models to analyze time lagged conversions
Repository containing the material required to reproduce the results of the paper "Vision-Based Fall Detection with Convolutional Neural Networks"
Beta-RecSys: Build, Evaluate and Tune Automated Recommender Systems