candleinwindsteve

Steve liu's repositories

awesome-graph-classification

A collection of important graph embedding, classification and representation learning papers with implementations.

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awesome-monte-carlo-tree-search-papers

A curated list of Monte Carlo tree search papers with implementations.

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brainstorm3

Brainstorm software: MEG, EEG, fNIRS, ECoG, sEEG and electrophysiology

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COVID-19-TweetIDs

The repository contains an ongoing collection of tweets IDs associated with the novel coronavirus COVID-19 (SARS-CoV-2), which commenced on January 28, 2020.

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dl-docker

An all-in-one Docker image for deep learning. Contains all the popular DL frameworks (TensorFlow, Theano, Torch, Caffe, etc.)

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dsaa_2020_tutorial_code_public

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EEG-Datasets

A list of all public EEG-datasets

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eeg_meg_analysis

MATLAB code for methods developed to analyse EEG/MEG data

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machine-learning-notes

My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (1000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(1000+页)和视频链接

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MRI-CNN

Convolutional neural network in TensorFlow for magnetic resonance images reconstruction from frequency domain

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multiagent-particle-envs

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notes-python

中文 Python 笔记

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personal-academic-website

A skeleton-site for a personal academic website, written in Jekyll for hosting with GitHub Pages.

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pglib-uc

Benchmarks for the Unit Commitment Problem

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PRMLT

Matlab code for machine learning algorithms in book PRML

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propofol_spatial_pac

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PyTorch-HelloWorld

A basic DNN tutorial in PyTorch, for persons without a background in Linux, Python, or remote servers

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PyTorch-Tutorial

Build your neural network easy and fast

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pytorch_DGCNN

PyTorch implementation of DGCNN

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relational-gcn

Keras-based implementation of Relational Graph Convolutional Networks

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sensory_PAC

MATLAB scripts for detecting and validating phase amplitude coupling (PAC) in electrophysiological data

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SparseGroupLasso

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stat479-deep-learning-ss19

Course material for STAT 479: Deep Learning (SS 2019) at University Wisconsin-Madison

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Stochastic-Optimization-1

Project for Stochastic Programming

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Two-level-Attention-for-Arrhythmia-Detection

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WFLOP_Python

Applied Energy - Wind Farm Layout Optimization using Self-Informed Genetic Algorithm with Information Guided Exploitation

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WFLOP_Python-1

Applied Energy - Wind Farm Layout Optimization using Self-Informed Genetic Algorithm with Information Guided Exploitation

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WFLOP_SUGGA_Python

Energy Conversion and Management - Wind farm layout optimization based on support vector regression guided genetic algorithm with consideration of participation among landowners

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cornell-cs5785-2020-applied-ml

Teaching materials for the applied machine learning course at Cornell Tech (online edition)

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cs446

:computer: CS446: Machine Learning in 2018 Spring, UIUC

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