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3d-deepbox

3D Bounding Box Estimation Using Deep Learning and Geometry (MultiBin)

adversarial

Code and hyperparameters for the paper "Generative Adversarial Networks"

apollo-11

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

awesome-computer-vision

A curated list of awesome computer vision resources

battery_soc_estimation

Battery state of charge estimation using kalman filter in Matlab

bayespy

Bayesian Python: Bayesian inference tools for Python

bbvi

Black Box Variational Inference

bnpy

Bayesian nonparametric machine learning for Python

boosting-bbvi

cpd

C++ implementation of the Coherent Point Drift point set registration algorithm.

cvpr2017

An Implementation of "A Linear Extrinsic Calibration of Kaleidoscopic Imaging System"

d-admm-code

A fast non-blind deconvolution method in the derivative space

data-driven-prediction-of-battery-cycle-life-before-capacity-degradation

Code for Nature energy manuscript

deep-admm-net

deep-characterization-soft-sensor

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

deep-reinforcement-learning-papers

A list of papers and resources dedicated to deep reinforcement learning

deep-reinforcement-learning-papers-1

A list of recent papers regarding deep reinforcement learning

deepcgp

Deep convolutional gaussian processes.

deepdeblur_release

Deep Multi-scale CNN for Dynamic Scene Deblurring

depth-aware-motion-deblurring

Mirror from https://square-src.de/gitlab/franzi/study-thesis. This is my study thesis - a reference implementation of the depth-aware motion deblurring algorithm by Xu and Jia.

detection-2016-nipsws

Hierarchical Object Detection with Deep Reinforcement Learning

dropoutuncertaintyexps

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

dtl

facial-expression-recognition

Joint Pose and Expression Modeling for Facial Expression Recognition

generative-models

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

gpmat

Matlab implementations of Gaussian processes and other machine learning tools.

gpy

Gaussian processes framework in python

hello-world

Learning GitHub

hithesis

嗨！thesis！哈尔滨工业大学毕业论文LaTeX模板

hpm

Hidden physics models: Machine learning of nonlinear partial differential equations