shenghsin Goto Github PK

ax

Adaptive Experimentation Platform

bayespoly

Bayesian optimization code for Bayesian-Optimization-Assisted Discovery of Stereoselective Aluminum Complexes for Ring-Opening Polymerization of Racemic Lactide.

ebook

energy_ood

feature_encoding_with_autoencoders_for_weakly-supervised_anomaly_detection

geometric-neural-processes

keras-prioritizer

learningproject

mcp

Multiple-Boundary Clustering and Prioritization

mlmi_project_code

Code for my MLMI MPhil Project on Semi-Supervised learning with Conditional Neural Processes

multi_task_neural_processes

natural-adversary

Generating Natural Adversarial Examples, ICLR 2018

nc_diversity_attacks

Diversity Promoting Adversarial Attacks for Increasing Neuron Coverage

np-match

A Pytorch implementation of ICML 2022 paper "NP-Match: When Neural Processes meet Semi-Supervised Learning"

shenghsin.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

simple-sat

Simple recursive and iterative SAT solver written in Python.

testrank

This is an implementation of the paper "TestRank: Bringing Order into Unlabeled Test Instances for Deep Learning Tasks" in NeurIPS'2021.

tutorials

PyTorch tutorials.