liubin06

BNS

Bayesian negative sampling is the theoretically optimal negative sampling algorithm that runs in linear time.

AttentioNCE

AttentioNCE: Contrastive Learning with Instance Attention

disertation

BCL

Bayesian Self-Supervised Contrastive Learning

BPRAC

BPRAC formulates the pairwise learning-to-rank task from implicit feedback as a maximizing a posteriori probability estimation problem that contains a hidden variable.

ccf-deadlines

⏰ CCF recommendation conference Deadline Countdowns / Please star this project, thanks~

CNN

A small project that doesn't want to be noticed

ContrastiveLearning

Debiased-Contrastive-Learning

NeurIPS 2020, Debiased Contrastive Learning

DPL

Debiased Pairwise Loss

HCL

ICLR 2021, Contrastive Learning with Hard Negative Samples

i-melt

i-Melt is a machine learning model of the properties of aluminosilicate melts and glasses

io

Notes

别动心，动笔；别做梦，做题

numpy-ml

Machine learning, in numpy

PRML

PRML algorithms implemented in Python

SupplementaryExperiment

BCL

SupplementaryExperiments

Supplementary experiments for BNS with different loss functions.

tensorflow-DeepFM

Tensorflow implementation of DeepFM for CTR prediction.

TensorFlow-In-Practice

Code based in TensorFlow

test

test2

test

tinyImagenet

VariationalBPR