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An index of recommendation algorithms that are based on Graph Neural Networks. (TORS)
A curated list of awesome Recommender System (Books, Conferences, Researchers, Papers, Github Repositories, Useful Sites, Youtube Videos)
Always know what to expect from your data.
A unified, comprehensive and efficient recommendation library
Machine learning metrics for distributed, scalable PyTorch applications.
Models, data loaders and abstractions for language processing, powered by PyTorch
Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets in Apache Parquet format. It supports ML frameworks such as Tensorflow, Pytorch…
Neural Collaborative Filtering
Best Practices on Recommendation Systems
Google Research
A deep matching model library for recommendations & advertising. It's easy to train models and to export representation vectors which can be used for ANN search.
【PyTorch】Easy-to-use,Modular and Extendible package of deep-learning based CTR models.
Easy-to-use,Modular and Extendible package of deep-learning based CTR models .
Pytorch implementation of BERT4Rec and Netflix VAE.
A resource for learning about Machine learning & Deep Learning
Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.
Notebooks for learning deep learning
A library for efficient similarity search and clustering of dense vectors.
Non-Metric Space Library (NMSLIB): An efficient similarity search library and a toolkit for evaluation of k-NN methods for generic non-metric spaces.
A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility
Models and examples built with TensorFlow
Benchmarks of approximate nearest neighbor libraries in Python
A Python implementation of global optimization with gaussian processes.
An open source python library for automated feature engineering