StarCraft II Multi Agent Challenge : QMIX, COMA, LIIR, QTRAN, Central V, ROMA, RODE, DOP, Graph MIX

SMAC: The StarCraft Multi-Agent Challenge

A Collection of Variational Autoencoders (VAE) in PyTorch.

Codebase for SEFS: Self-Supervision Enhanced Feature Selection with Correlated Gates

Model interpretability and understanding for PyTorch

About Code release for "Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy" (ICLR 2022 Spotlight), https://openreview.net/forum?id=LzQQ89U1qm_

Implementation of Multi-View Information Bottleneck

Source code for the paper "Learning Numeral Embeddings" accepted by EMNLP-findings 2020

📖 Korean NLU Benchmark

Official Code for the paper: "Composite Feature Selection using Deep Ensembles"

A concise but complete implementation of CLIP with various experimental improvements from recent papers

Python/R library for feature selection in neural nets. ("Feature selection using Stochastic Gates", ICML 2020)

Implementation of Few-shot Domain Adaptation by Causal Mechanism Transfer (ICML 2020)

Codebase for INVASE: Instance-wise Variable Selection - 2019 ICLR

Code related to my YouTube vids!

DAGs with NO TEARS: Continuous Optimization for Structure Learning

Code for paper: "Numeracy Enhances the Literacy of Language Models"

A python port of the glmnet package for fitting generalized linear models via penalized maximum likelihood.

SAM: Sharpness-Aware Minimization (PyTorch)

A collection of AWESOME things about domian adaptation

A Variational Information Bottleneck Approach to Multi-Omics Data Integration

This repository contains the implementation of Dynamask, a method to identify the features that are salient for a model to issue its prediction when the data is represented in terms of time series.…

대학원 생활을 하며 사용하는 작고 소중한 코딩팁 (linux 명령어 등)

Financial data reader