#
blackbox
Here are 75 public repositories matching this topic...
Blackbox tool to disable SSL certificate validation - including certificate pinning - within iOS and OS X Apps
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Jun 21, 2020 - Objective-C
Open-source implementation of Google Vizier for hyper parameters tuning
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Nov 11, 2019 - Jupyter Notebook
manugarg
commented
Oct 24, 2019
Cloudprober supports building additional metrics (other than the default ones) from external probe output. We could possible do the same for HTTP probe.
Open
Code improvements
1
pramitchoudhary
commented
Aug 13, 2018
- correcting handling asserts
- replacing
assert conditionwith the pattern
if not condition: raise AssertionError()
- replacing
PyTorch implementation of Interpretable Explanations of Black Boxes by Meaningful Perturbation
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Jul 19, 2018 - Python
python
logfile
pid
quad
response
tune
pid-control
blackbox
betaflight
pid-controller
tpa
pid-analyzer
stock-tune
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Mar 16, 2019 - Python
ExplainX is a fast, light-weight, and scalable explainable AI framework for data scientists to explain and debug any black-box model.
python
machine-learning
ai
artificial-intelligence
trust
transparency
blackbox
bias
interpretability
explainable-artificial-intelligence
interpretable-ai
explainable-ai
xai
interpretable-machine-learning
explainx
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Aug 19, 2020 - Jupyter Notebook
LinBox - C++ library for exact, high-performance linear algebra
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Jul 22, 2020 - C++
Towards Reverse-Engineering Black-Box Neural Networks, ICLR'18
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Jun 7, 2019 - Python
Open
Support translations
2
rodlie
opened
Oct 25, 2018
In this part, i've introduced and experimented with ways to interpret and evaluate models in the field of image. (Pytorch)
machine-learning
computer-vision
deep-learning
grad-cam
mnist
gradients
backpropagation
blackbox
saliency-map
cifar-10
smoothgrad
guided-backpropagation
interpretable-ai
explainable-ai
integrated-gradients
evaluate-models
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Mar 4, 2020 - Jupyter Notebook
Multi-core BUGS for fast Bayesian inference of large hierarchical models
bayesian
bayesian-inference
bugs
mcmc
blackbox
markov-chain-monte-carlo
bayesian-hierarchical-models
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Aug 14, 2020 - Shell
model-describer : Making machine learning interpretable to humans
python
data-science
machine-learning
data-mining
algorithm
analytics
scikit-learn
machine-learning-algorithms
data-visualization
data-analysis
model-checking
machinelearning
python-3
python-2
python2
blackbox-testing
blackbox
blackbox-exporter
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Aug 15, 2018 - JavaScript
Backtrace-on-throw C++ exception logger
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Aug 14, 2019 - Python
A collection of black-box optimizers with a focus on evolutionary algorithms
optimization
genetic-algorithm
evolutionary-algorithms
differential-evolution
blackbox
particle-swarm-optimization
derivative-free
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Jan 21, 2020 - Python
Lambdabox provides a generic embedded domain specific language (EDSL) in Haskell for communication with multiple cryptocurrency exchanges.
haskell
crypto
trading
blockchain
trading-bot
edsl
cryptocurrency
algotrading
blackbox
exchange-api
cryptocurrency-exchanges
binance
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Jun 30, 2018 - Haskell
Self-Explaining Neural Networks
deep-learning
reproducible-research
pytorch
mnist
neural-networks
transparency
blackbox
interpretability
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Feb 1, 2020 - Jupyter Notebook
Tiny Tutorial on https://arxiv.org/abs/1703.04730
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Nov 19, 2019 - Jupyter Notebook
The project page of paper: Projection & Probability-Driven Black-Box Attack [CVPR 2020]
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May 11, 2020 - Python
ZebX Desktop BB Window Manager Interface.
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Dec 26, 2018 - C++
The White Box Project is a project that introduces many ways to solve the part of the black box of machine learning. This project is based on Interpretable Machine Learning by Christoph Molnar. I recommend you to read the book first and practice this project.
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Mar 8, 2020 - Jupyter Notebook
Ansible role for Prometheus Blackbox exporter
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Apr 22, 2020
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