Code release for the paper, "Proactive Agents for Text-to-Image Generation under Uncertainty"

MPHD: a Model Pre-training method on Heterogeneous Domains

Github repo for REDUCR: Robust Data Downsampling using Class Priority Reweighting

Grammar Prompting for Domain-Specific Language Generation with Large Language Models

Pre-trained Gaussian processes for Bayesian optimization

Virtual Seminar Series on Bayesian Decision-making and Uncertainty

Learning for Task and Motion Planning (LTAMP)

High-quality implementations of standard and SOTA methods on a variety of tasks.

Deep neural network kernel for Gaussian process

JAX-based neural network library

Literature survey, paper reviews, experimental setups and a collection of implementations for baselines methods for predictive uncertainty estimation in deep learning models.

Contour Location Via Entropy Reduction (NeurIPS 2018)

A visualization grammar.

Bayesian optimization in PyTorch

Repo for counting stars and contributing. Press F to pay respect to glorious developers.

超级微信电脑客户端，支持多开、防消息撤销、语音消息备份...开放WeChatSDK

Graph Neural Network Library for PyTorch

python script for calculating expression values from RNA-seq

TensorFlow Code for paper "Efficient Neural Architecture Search via Parameter Sharing"

Bullet Physics SDK: real-time collision detection and multi-physics simulation for VR, games, visual effects, robotics, machine learning etc.

Implementation of the k-means algorithm in PyTorch that works for large datasets

movo workspace

A highly efficient implementation of Gaussian Processes in PyTorch

Build Graph Nets in Tensorflow