ZIYU-DEEP/slides-follow-ups-also-matter-neurips

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ZIYU-DEEP/slides-follow-ups-also-matter-neurips

ZIYU-DEEP

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Awesome-Information-Bottleneck

This is a curated list for Information Bottleneck Principle, in memory of Professor Naftali Tishby.

Awesome-Autoencoders-for-Representation-Learning

A curated list on the literature of autoencoders for representation learning.

Awesome-Papers-on-Combinatorial-Semi-Bandit-Problems

A curated list on papers about combinatorial multi-armed bandit problems.

Papers-on-Anomaly-Detection-in-NeurIPS-2020

A list of all papers related to anomaly detection in NeurIPS 2020.

AAAI-2021-Paper-List-of-Anomaly-Detection

A list of accepted papers in AAAI 2021 about anomaly detection.

RL-Reading-Group

Reading papers, bit by bit.

Bias-in-Deep-Anomaly-Detection-PyTorch

This is the code repository for the IJCAI-21 paper "Understanding the Effect of Bias in Deep Anomaly Detection".

Predicting-Terrorist-Attack-Using-Machine-Learning

This project provides a machine learning pipeline to predict terrorist attack.

Jupyter Notebook

Paper-List-of-Open-Set-Domain-Adaptation

A list of papers on open set domain adaptation.

Anomaly-Detection-for-Images

This repository implements several trending anomaly detection frameworks on different image datasets.

deepSAD-custom

Deep SAD model with customized datasets. Source: https://github.com/lukasruff/Deep-SAD-PyTorch

Multiclass-Datasets-for-Anomaly-Detection

A short note on multi-class datasets for anomaly detection for our current research project.

Post-Quantum-Crypto-for-Blockchains

A python package for post-quantum-safe transaction on Web3 with hybrid key encapsulation methods.

Anomaly-Detection-for-Spectrum

This is the repository for anomaly detection for spectrum data.

Jupyter Notebook

Generalization-and-Memorization-in-Sparse-Training

This is the repository for the SNN-22 Workshop paper on "Generalization and Memorization in Sparse Neural Networks".

Semi-Supervised-Anomaly-Detection-Pytorch

A general framework for semi-supervised anomaly detection models written in PyTorch.

Build-a-Simple-Machine-Learning-Pipeline

The motivation of this project is to build a simple, modular, extensible, machine learning pipeline in Python.

Jupyter Notebook

IJCAI-Paper-List-of-Anomaly-Detection

A list of accepted papers in recent IJCAI about anomaly detection.

ICML-Paper-List-of-Anomaly-Detection

A list of papers in ICML related to anomaly detection.

Semi-Supervised-Anomaly-Detection

This repository provides a general framework for semi-supervised anomaly detection using deep learning techniques.

Jupyter Notebook

Hidden-Markov-Models-for-Robot-Localization

The repository implements an algorithm that estimates the maximum a posteriori (MAP) hidden (latent) trajectory of the robot based upon the sequence of room color observations.

Deep-Reinforcement-Learning-for-Music

This is my personal literature review for deep reinforcement learning in the field of art (e.g. music generation), with the hope to retrieve talented Ellen Loo digitally.

Multi-Objective-RL-and-Control

The repository for the project on multi-objective rl and control.

Extended-Kalman-Filter-for-Robot-Localization

This is a implementation of extended Kalmen filter in estimating robot's pose and trajectory based on observation data.

Jupyter Notebook