#
zoo
Here are 33 public repositories matching this topic...
A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.
reinforcement-learning
optimization
openai-gym
hyperparameters
openai
gym
hyperparameter-optimization
rl
zoo
hyperparameter-tuning
hyperparameter-search
pybullet
stable-baselines
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Jun 22, 2020 - Python
ZOO, Zaghi fOrtran cOllection, where my wild Fortran pets will survive
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Updated
Jun 22, 2017 - Fortran
Performance hacks and some hotfixes for YOOtheme ZOO Joomla! Component
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Updated
Oct 2, 2018 - PHP
All about Deepfakes & Detection
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Updated
Mar 4, 2020
Plugin social buttons for Joomla. Support extension: K2, ZOO, Easy Blog, VirtueMart, JoomShopping, ADSmanager, Content.
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Updated
Feb 11, 2020 - PHP
This is an Augmented Reality application which will help in learning about Wild life animal by creating an augmented Zoo and Spread awareness of endangered animals
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Nov 1, 2018 - C#
Collection of 3D deep-learning/machine learning materials
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Apr 16, 2020
Simple zoo app
android
kotlin
demo
kotlin-language
kotlin-android
android-application
zoo
androidapp
zooapp
zooapplication
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Dec 11, 2018 - Kotlin
Detecting structural breaks in time series with statistical analysis in R with strucchange and regression models.
rss
machine-learning
r
statistics
analysis
rstudio
machine-learning-algorithms
breakpoint
economics
statistical-analysis
gdp
ols
zoo
ols-regression
bic
ftest
best-fit
structural-breakpoint
strucchange
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May 19, 2020 - R
snake - a malware storage zoo
analysis
storage
malware
malwareanalysis
zoo
malware-analysis
malware-research
malware-samples
malware-development
analysis-pipeline
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Aug 15, 2018 - Shell
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Jun 10, 2020 - HTML
Life ecosystem of animals where in zoo
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Apr 15, 2017 - Java
A Zoo Application Documentation and Initial Prototypes, to show the customer and build traction.
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Sep 24, 2018 - HTML
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Updated
Mar 15, 2017 - HTML
Социальные кнопки Яндекс для Joomla JL Yandex Share Pro
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Updated
Apr 24, 2020 - PHP
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Jun 10, 2020 - HTML
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The 2x down-sampling is one of the important operations in reference models. But, a convolution or a pooling with
stride=2, padding='SAME'may result in different outputs over different deep learning libraries (e.g., TensorFlow, CNTK, Theano, Caffe, Torch, ...) due to their different padding behaviors.For example (TensorNets syntax; but can be regarded as pseudo codes for other libraries),