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ensLoss

EnsLoss: Stochastic Calibrated Loss Ensembles for Preventing Overfitting in Classification

CUHK-STAT3009

Recommender systems in Python

rankseg

RankSEG: A consistent ranking-based framework for segmentation

dnn-inference

Significance tests of feature relevance for a black-box learner

awesome-ranking

This repository contains a list of awesome literature in learning-to-rank.

nonlinear-causal

nl-causal: nonlinear causal inference based on IV regression in Python

awesome-statml

This repository contains a list of awesome literature in statistics and machine learning.

Variant-SVM

Python library for Variants of Support Vector Machines

dnn-locate

dnn-locate is a python module for discriminative features localization based on neural networks.

embedding-learning

Demo for embedding learning

svmadmm

R package for Linear/Nonlinear SVM Classification Solver Based on ADMM and IADMM Algorithms

CUHK-STAT1013

STAT1013 website

pytorch-segmentation

:art: Semantic segmentation models, datasets and losses implemented in PyTorch.

stackseparating

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