Code for reco-gym: A Reinforcement Learning Environment for the problem of Product Recommendation in Online Advertising

Code accompanying the SIGIR 2016 tutorial on counterfactual evaluation and learning methods for user-interactive systems.

Semi-synthetic experiments to test several approaches for off-policy evaluation and optimization of slate recommenders.

Weak supervision methods for extracting real world evidence from EHRs

Trax — Deep Learning with Clear Code and Speed

Siamese and triplet networks with online pair/triplet mining in PyTorch

Making text a first-class citizen in TensorFlow.

Dataset, streaming, and file system extensions maintained by TensorFlow SIG-IO

Integration of TensorFlow with other open-source frameworks

Repo of code and data for SIGIR-19 short paper "Deeper Text Understanding for IR with Contextual NeuralLanguage Modeling"

Cyclic learning rate TensorFlow implementation.

Learning embeddings for classification, retrieval and ranking.

Next RecSys Library

Best Practices on Recommendation Systems

Learning to Rank in TensorFlow

Keras implementation of the Smart Reply[1] Google system paper.

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

Variational autoencoders for collaborative filtering

Deep recommender models using PyTorch.

Simple remote development environments over SSH

Code for the Recsys 2018 paper entitled Causal Embeddings for Recommandation.

Concurrent data pipelines in Python >>>

A TensorFlow recommendation algorithm and framework in Python.

A Tensorflow based implicit recommender system

Python framework for fast (approximated) nearest neighbour search in large, high-dimensional data sets using different locality-sensitive hashes.

Efficient GPU kernels for block-sparse matrix multiplication and convolution

Adversarial Learning, Matrix Factorization, Recommendation