This repo is for experimentation and exploring new ideas that may or may not make it into the main corefx repo.
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Mar 11, 2021 - C#
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experimentation
Here are 123 public repositories matching this topic...
Shadow is a discrete-event network simulator that directly executes real application code, enabling you to simulate distributed systems with thousands of network-connected processes in realistic and scalable private network experiments using your laptop, desktop, or server running Linux.
control
networking
simulation
emulation
scalability
tor
scientific-computing
experimentation
realism
science-research
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Jul 29, 2021 - C
Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries
python
data-science
machine-learning
ai
deep-learning
neural-network
optimization
scikit-learn
sklearn
keras
ml
artificial-intelligence
xgboost
hyperparameter-optimization
experimentation
lightgbm
feature-engineering
hyperparameter-tuning
catboost
rgf
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Jan 20, 2021 - Python
Open-source Python library for statistical analysis of randomised control trials (A/B tests)
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Mar 31, 2021 - Python
Deep-Learning Model Exploration and Development for NLP
nlp
deep-learning
tensorflow
keras
transformers
pytorch
recurrent-neural-networks
classification
experimentation
seq2seq
baseline
convolutional-neural-networks
language-model
bert
visdom
deep-learning-architectures
nlp-tasks
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Jul 29, 2021 - Python
PipelineX: Python package to build ML pipelines for experimentation with Kedro, MLflow, and more
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Jul 6, 2021 - Python
JustTweak is a feature flagging framework for iOS apps.
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Jul 20, 2021 - Swift
The Open Source A/B Testing Platform
bigquery
statistics
analytics
clickhouse
google-analytics
mixpanel
snowflake
experimentation
redshift
abtesting
abtest
split-testing
optimizely
vwo
google-optimize
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Jul 29, 2021 - TypeScript
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Jun 2, 2021 - Jupyter Notebook
A hardware kit to experiment with inflatable and vacuum based soft robotics.
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Dec 11, 2018 - C
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Sep 30, 2019
A list of self curated blogposts, videos and exercises on various technologies that I find interesting
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Mar 28, 2020
Experiments conducted for NaNoGenMo 2014
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Nov 5, 2019 - Python
Library for multi-armed bandit selection strategies, including efficient deterministic implementations of Thompson sampling and epsilon-greedy.
go
golang
data-science
reinforcement-learning
thompson-sampling
experimentation
multi-armed-bandits
multi-armed-bandit
thompson
multiarmed-bandits
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Mar 16, 2021 - Go
A Fog Computing Emulation Framework
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Jan 24, 2021 - Python
This is a machine learning framework that enables developers to iterate fast over different ML architecture designs.
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Apr 20, 2020 - Python
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Jul 19, 2020 - C#
Android SDK client for Split Software
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Jul 13, 2021 - Java
A Flexible, Modular ML Experiment Framework
docker
kubernetes
machine-learning
modular
tensorflow
pytorch
experimentation
storage-virtualization
data-scientist
visualizers
expt-manager
job-dispatcher
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Jan 22, 2020 - Python
Experimental Linear Algebra Performance Studies
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Feb 24, 2017 - Python
This Chrome Extension automatically performs SRM checks and flags potential data quality issues on supported experimentation platforms.
chrome-extension
statistics
statistical-analysis
experimentation
ab-testing
srm
data-quality
vwo
visual-website-optimizer
google-optimize
sample-ratio-mismatch
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Jul 13, 2021 - JavaScript
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Jul 1, 2021 - JavaScript
A tool for running concurrent multi-configuration experiments.
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Jul 10, 2017 - Ruby
discontinued - Test-Project utilizing Qt, C++11, threading and libv4l to display multiple webcam streams on the screen plus the controls provided by the webcams. Runs on Linux only.
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Mar 10, 2015 - C++
Aroma of the Songs — Visualizing music in the form of intricate rose petals using moving cube traces.
audio-visualizer
music-information-retrieval
music-visualizer
experimentation
mathematical-modelling
audio-processing
vizualisation
aromaofthesongs
projectaos
aromaofsongs
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Jul 20, 2020 - JavaScript
A declarative, parameter-parsing library that provides multiple parsing interfaces (YAML, command line, and JSON)
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Jan 26, 2021 - Python
Reporting & analytics tools for the Mojito split testing framework
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May 20, 2021 - R
Causal Inference Using Quasi-Experimental Methods
experimental
experimentation
experiments
causality
causation
causality-analysis
causal-inference
rdd
synthetic-control
causal
its
causal-models
experimental-design
causal-impact
difference-in-differences
regression-discontinuity-designs
interrupted-time-series
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Jan 15, 2021
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Currently you can only do training when you've committed and pushed all new changes in your branch. This introduces a blocker when a Data Scientist is trying out lots of different changes in their code.
Allow for training even with uncommitted changes. This can be done by taking a
git diffof the current branch, storing it and then doing angit applyto the current branch during training