khsibr

aws-serverlessrepo-python

A Python library with convenience helpers for working with the AWS Serverless Application Repository.

BayesianSumProductNetworks

Implementation of Bayesian Sum-Product Networks

cgpm

Library of composable generative population models which serve as the modeling and inference backend of BayesDB.

Classification-AD

Repository for the paper "Rethinking Assumptions in Anomaly Detection"

crosscat

A domain-general, Bayesian method for analyzing high-dimensional data tables

DAMO-ConvAI

DAMO-ConvAI: The official repository which contains the codebase for Alibaba DAMO Conversational AI.

DeepStructuredMixtures

Code for Deep Structured Mixtures of Gaussian Processes (DSMGPs)

DGEMO

[NeurIPS 2020] Diversity-Guided Efficient Multi-Objective Optimization With Batch Evaluations

dropout_icml2019

Code to reproduce the experiments reported in "Dropout as a Structured Shrinkage Prior" [Nalisnick et al., ICML 2019]

examples

A repository to host extended examples and tutorials

Financial-Models-Numerical-Methods

Collection of notebooks about quantitative finance, with interactive python code.

eop

Code for the paper "Showing Your Offline Reinforcement Learning Work: Online Evaluation Budget Matters", ICML 2022

EXIT

forecastNet

Code for the paper entitled "ForecastNet: A Time-Variant Deep Feed-Forward Neural Network Architecture for Multi-Step-Ahead Time-Series Forecasting"

frameless

Expressive types for Spark.

go-explore

Code for Go-Explore: a New Approach for Hard-Exploration Problems

google-research

Google Research

LipschitzRNN

Lipschitz Recurrent Neural Networks

meghna-hugo

morbo

Multi-Objective Bayesian Optimization over High-Dimensional Search Spaces

PRML

PRML algorithms implemented in Python

RccGAN

Regularized Compound Conditional GAN for Large-Scale Tabular Data Synthesis

rlpd

rook

Storage Orchestration for Kubernetes

RVAE_MixedTypes

Repository for code release of paper "Robust Variational Autoencoders for Outlier Detection and Repair of Mixed-Type Data" (AISTATS 2020)

Sampling-free-Epistemic-Uncertainty

Code for the ICCV 2019 paper "Sampling-free Epistemic Uncertainty Estimation Using Approximated Variance Propagation"

thpp

TH++, C++ interface to the torch7 TH library

TimeMachine

TimeMachine: A Time Series is Worth 4 Mambas for Long-term Forecasting

trcrpm

Temporally-reweighted Chinese restaurant process mixture models for multivariate time series

trlx

A repo for distributed training of language models with Reinforcement Learning via Human Feedback (RLHF)