Publicly released code for the LAMBERT model

Sentence Embeddings with BERT & XLNet

Privacy-preserving XGBoost Inference

TensorFlow code and pre-trained models for BERT

Client/Server framework for encrypted machine learning using homomorphic encryption

Notebooks for the "A walk with fastai2" Study Group and Lecture Series

PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)

The Turing Change Point Detection Benchmark: An Extensive Benchmark Evaluation of Change Point Detection Algorithms on real-world data

Time Series Forecasting Best Practices & Examples

Mapping a variable-length sentence to a fixed-length vector using BERT model

Microsoft AI

A curated list of awesome self-supervised methods

A collection of various deep learning architectures, models, and tips

A hyperparameter optimization framework

Open Deep Learning and Reinforcement Learning lectures from top Universities like Stanford, MIT, UC Berkeley.

Notes on Scientific Computing for Biomechanics and Motor Control

Probabilistic reasoning and statistical analysis in TensorFlow

PRML algorithms implemented in Python

Best Practices on Recommendation Systems

This is the repository of our article published in RecSys 2019 "Are We Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation Approaches"

LibRec: A Leading Java Library for Recommender Systems, see

Normalizing flows in PyTorch. Current intended use is education not production.

A booklet on machine learning systems design with exercises

allRank is a framework for training learning-to-rank neural models based on PyTorch.

Code for NeurIPS 2019 paper: "Wide Feedforward or Recurrent Neural Networks of Any Architecture are Gaussian Processes"