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active-area-search

some examples for active area search paper

active-search-gp-sopt

implementation of experiments in Yifei Ma, Tzu-Kuo Huang, Jeff Schneider. Active Search and Bandits on Graphs Using Sigma-Optimality. UAI 2015.

activesearch

amazon-personalize-samples

Notebooks and examples on how to onboard and use various features of Amazon Personalize

amazon-sagemaker-examples

Example notebooks that show how to apply machine learning and deep learning in Amazon SageMaker

autodp

autodp: A flexible and easy-to-use package for differential privacy

choldate

Somewhat fast updating and downdating of Cholesky factors in Python

crowd-coachable-recommendations

deeprecommender

Deep learning for recommender systems

dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

gluon-nlp

NLP made easy

gluon-ts

Probabilistic time series modeling in Python

gluon-tutorials-zh

《动手学深度学习》

gpml_extensions

Provides various extensions to the GPML toolbox for Gaussian process inference in MATLAB.

gru4rec

GRU4Rec is the original Theano implementation of the algorithm in "Session-based Recommendations with Recurrent Neural Networks" paper, published at ICLR 2016 and its follow-up "Recurrent Neural Networks with Top-k Gains for Session-based Recommendations". The code is optimized for execution on the GPU.

gru4rec-pytorch

An other implementation of GRU4REC using PyTorch

hgru4rec

Code for our ACM RecSys 2017 paper "Personalizing Session-based Recommendation with Hierarchical Recurrent Neural Networks"

imdbpy

IMDbPY is a Python package useful to retrieve and manage the data of the IMDb movie database about movies, people, characters and companies

incubator-mxnet

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

mass

MASS: Masked Sequence to Sequence Pre-training for Language Generation

movielens-imdb

The doc for how to match the MovieLen dataset and the IMDB dataset

neural_stpp

Deep generative modeling for time-stamped heterogeneous data, enabling high-fidelity models for a large variety of spatio-temporal domains.

now_uc_slides

pecos

PECOS - Prediction for Enormous and Correlated Spaces

pil-iml

Codes to reproduce Imitation-Regularized Offline Learning

python-sortedcontainers

Python Sorted Container Types: Sorted List, Sorted Dict, and Sorted Set

recurrent-intensity-model-experiments

sacred

Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.

sagemaker-inference-toolkit

Serve machine learning models within a 🐳 Docker container using 🧠 Amazon SageMaker.

sagemaker-python-sdk

A library for training and deploying machine learning models on Amazon SageMaker