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ai

Microsoft AI

ai_curriculum

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

allrank

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

arm-gradient

Low-variance, unbiased, theoretically grounded and computationally efficient gradient for binary latent variable models, based on variable augmentation and antithetic sampling. ICLR 2019

arsm

Backpropagation through categorical random variables with low-variance and unbiased gradient. Application in variational auto-encoder and reinforcement learning. ICML 2019

arsm_letor

awesome-self-supervised-learning

A curated list of awesome self-supervised methods

bayesian_changepoint_detection

Methods to get the probability of a changepoint in a time series.

bert

TensorFlow code and pre-trained models for BERT

bert-as-service

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

bimpm

BiMPM: Bilateral Multi-Perspective Matching for Natural Language Sentences

binary-vae

A minimal implementation of a VAE with BinConcrete (relaxed Bernoulli) latent distribution in TensorFlow.

bmc

Notes on Scientific Computing for Biomechanics and Motor Control

bnbr

bnpseq

Bayesian Nonparametric Differential Expression Analysis of Sequencing Count Data

change-detection-tutorial

Tutorial on change detection in time series data

changefinder

cifar10-fast

concrete-autoencoders

deepar

Tensorflow implementation of Amazon DeepAR

deeplearning-models

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

deepul

dip-vae

An implementation of DIP-VAE from the paper "Variational Inference of Disentangled Latent Concepts from Unlabelled Observations" by Kumar et al. (Published at ICLR 2018) https://arxiv.org/abs/1711.00848

dnbfa

Covariate-Dependent Negative Binomial Factor Analysis

doc2hash

emnlp2019-duplicate_question_detection

encrypted-evaluation

Client/Server framework for encrypted machine learning using homomorphic encryption

esrnn-gpu

PyTorch GPU implementation of the ES-RNN model for time series forecasting

forecasting

Time Series Forecasting Best Practices & Examples

former

Simple transformer implementation from scratch in pytorch.