singpo (lxp2013)

lxp2013

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singpo's repositories

adversarial

Code and hyperparameters for the paper "Generative Adversarial Networks"

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Apollo-11

Original Apollo 11 Guidance Computer (AGC) source code for the command and lunar modules.

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Battery_SOC_Estimation

Battery state of charge estimation using kalman filter in Matlab

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bnpy

Bayesian nonparametric machine learning for Python

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deep-characterization-soft-sensor

Implementation of "Use of Deep Learning for Characterization of Microfluidic Soft Sensors" (RA-L and ICRA'2018)

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DeepCGP

Deep convolutional gaussian processes.

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DropoutUncertaintyExps

Experiments used in "Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning"

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Facial-expression-recognition

Joint Pose and Expression Modeling for Facial Expression Recognition

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GPy

Gaussian processes framework in python

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hithesis

嗨!thesis!哈尔滨工业大学毕业论文LaTeX模板

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HPM

Hidden physics models: Machine learning of nonlinear partial differential equations

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input-inference-for-control

Input Inference for Control (i2c), a control-as-inference framework for optimal control

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koopman-realizations

Codebase for generating linear/bilinear/nonlinear Koopman model realizations from data and constructing MPC controllers.

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MSWNNM

Multi-Scale Weighted Nuclear Norm Image Restoration

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mtheme

A modern LaTeX Beamer theme

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neural-variational-inference

Neural variational inference and learning in undirected graphical models http://www.stanford.edu/~kuleshov/papers/nips2017.pdf

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nndl

Another Chinese Translation of Neural Networks and Deep Learning

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nonmarkov-timeseries-estimation

Implementation of framework and reproduction of figures from "A Modularized Efficient Framework for Non-Markov Time Series Estimation" (https://arxiv.org/abs/1706.04685)

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notes

Resources to learn more about Machine Learning and Artificial Intelligence

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PIDOptimizer

The Pytorch code for this CVPR 2018 paper: "A PID Controller Approach for Stochastic Optimization of Deep Networks"

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Pluralistic-Inpainting

CVPR 2019: "Pluralistic Image Completion"

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Point-Set-Matching-Registration-Material

A list of point set matching/registration resources collected by Gang Wang

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probrnn

State space modeling with recurrent neural networks

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pytorch-handbook

pytorch handbook是一本开源的书籍,目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门,其中包含的Pytorch教程全部通过测试保证可以成功运行

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reinforcement-learning-an-introduction

Python Implementation of Reinforcement Learning: An Introduction

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Soft-Sensor-Modelling

Soft sensor modelling using multiple machine learning algorithms

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vind

Tensorflow Implementation of VIND

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