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model-selection
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A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
python
data-science
machine-learning
automation
random-forest
scikit-learn
model-selection
xgboost
hyperparameter-optimization
feature-engineering
automl
gradient-boosting
automated-machine-learning
parameter-tuning
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Updated
Nov 23, 2020 - Python
Visual analysis and diagnostic tools to facilitate machine learning model selection.
visualization
python
machine-learning
anaconda
scikit-learn
visualizer
model-selection
estimator
visual-analysis
matplotlib
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Updated
Nov 1, 2020 - Python
A collection of computer vision pre-trained models.
data-science
image
computer-vision
deep-learning
neural-network
mxnet
tensorflow
model
models
keras
python3
pytorch
model-selection
image-classification
awesome-list
object-detection
pretrained-models
pretrained
video-analysis
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Updated
Nov 19, 2020
Automated Deep Learning without ANY human intervention. 1'st Solution for AutoDL challenge@NeurIPS.
python
data-science
machine-learning
big-data
ai
tensorflow
pytorch
artificial-intelligence
model-selection
lightgbm
resnet
deeplearning
feature-engineering
nas
multi-label
automl
automated-machine-learning
autodl
autodl-challenge
full-automl
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Updated
Jul 27, 2020 - Python
Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.
python
machine-learning
trading
feature-selection
model-selection
quant
trading-strategies
investment
market-maker
feature-engineering
algorithmic-trading
backtesting-trading-strategies
limit-order-book
quantitative-trading
orderbook
market-microstructure
high-frequency-trading
market-making
orderbook-tick-data
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Feb 14, 2017 - Jupyter Notebook
本人多次机器学习与大数据竞赛Top5的经验总结，满满的干货，拿好不谢
python
data-science
machine-learning
sql
deep-learning
feature-selection
kaggle-competition
gan
model-selection
xgboost
hyperparameter-optimization
lightgbm
feature-engineering
automl
catboost
model-fusion
tianchi-competition
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Sep 10, 2020 - Python
Dynamic Nested Sampling package for computing Bayesian posteriors and evidences
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Updated
Oct 5, 2020 - Python
Time Series Cross-Validation -- an extension for scikit-learn
data-science
machine-learning
time-series
cross-validation
model-selection
hyperparameter-optimization
tuning-parameters
backtesting
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Updated
Feb 20, 2020 - Python
Efficient phylogenomic software by maximum likelihood
phylogenetics
model-selection
mixture-model
maximum-likelihood
phylogenomics
iq-tree
ultrafast-bootstrap
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Updated
Nov 24, 2020 - C++
State-of-the art Automated Machine Learning python library for Tabular Data
python
data-science
machine-learning
sklearn
cross-validation
ml
model-selection
xgboost
hyperparameter-optimization
machine-learning-library
hyperparameter-tuning
optimisation
automl
stacking
auto-ml
machine-learning-models
automatic-machine-learning
data-science-projects
stacking-ensemble
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Updated
Nov 23, 2020 - Python
pathpy is an OpenSource python package for the modeling and analysis of pathways and temporal networks using higher-order and multi-order graphical models
python
data
machine-learning
data-mining
graph
analysis
model-selection
networks
temporal-networks
graphical-models
pathways
network-analysis
sequential-data
multi-order
temporal-correlations
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Updated
May 2, 2020 - Python
A library that unifies the API for most commonly used libraries and modeling techniques for time-series forecasting in the Python ecosystem.
wrapper
data-science
time-series
sklearn
parallel
cross-validation
transformer
model-selection
statsmodels
wrapper-library
sklearn-compatible
fbprophet
sarimax
time-series-forecasting
sklearn-library
sklearn-api
pmdarima
tbats
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Updated
Nov 27, 2020 - Python
Probabilistic programming framework that facilitates objective model selection for time-varying parameter models.
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Updated
Mar 23, 2020 - Python
Python library for Bayesian hyper-parameters optimization
python
data-science
machine-learning
big-data
deep-learning
neural-network
tensorflow
model-selection
hyperparameter-optimization
convolutional-neural-networks
gaussian-processes
bayesian-optimization
random-search
optimization-algorithms
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Aug 28, 2018 - Python
Measure and visualize machine learning model performance without the usual boilerplate.
python
data-science
machine-learning
statistics
deep-learning
regression
model-selection
classification
visual-analysis
confusion-matrix
roc-curve
model-evaluation
precision-recall-curve
model-comparsion
residual-plot
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Updated
Aug 29, 2020 - Python
Random Forests in Apache Spark
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Updated
Jun 13, 2019 - Scala
data-science
machine-learning
r
statistics
regression
model-selection
ensemble-learning
r-package
ensemble-model
stacking
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Updated
Nov 13, 2020 - R
dsherry
commented
Nov 24, 2020
SmartCore is a comprehensive library for machine learning and numerical computing. The library provides a set of tools for linear algebra, numerical computing, optimization, and enables a generic, powerful yet still efficient approach to machine learning.
rust
machine-learning
clustering
machine-learning-algorithms
statistical-learning
regression
rust-lang
scientific-computing
model-selection
classification
statistical-models
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Updated
Nov 28, 2020 - Rust
Automating Outlier Detection via Meta-Learning (Code, API, and Contribution Instructions)
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Updated
Sep 28, 2020 - Python
Heuristic and inference engine for estimating the number of communities in a bipartite network
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Updated
Sep 25, 2020 - Python
BAS R package
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Nov 10, 2020 - C
Fit and compare complex models reliably and rapidly. Advanced nested sampling.
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Nov 28, 2020 - Python
InfoGAN-CR and ModelCentrality: Self-supervised Model Training and Selection for Disentangling GANs, ICML 2020
metrics
sap
generative-adversarial-network
gan
model-selection
representation
gans
celeba
dci
mig
disentanglement
dsprites
disentangled-representations
disentangled
infogan-cr
contrastive-regularizers
model-centrality
3d-teapot
factorvae-metric
betavae-metric
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Updated
Oct 25, 2020 - Python
This repository will contain all the stuffs required for beginners in ML and DL do follow and star this repo for regular updates
machine-learning
algorithm
deep-learning
clustering
linear-regression
probability
datascience
model-selection
naive-bayes-classifier
neural-networks
polynomial-regression
hacktoberfest
nlp-machine-learning
prediction-model
logisitic-regression
decision-tree-regression
customer-segmentation
random-forest-regression
hacktoberfest2020
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Updated
Oct 31, 2020 - Jupyter Notebook
A web app that helps Kickstarter creators increase their chances of being funded
machine-learning
natural-language-processing
exploratory-data-analysis
postgresql
cross-validation
datascience
model-selection
classification
logistic-regression
regularization
webscraping
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Updated
Oct 3, 2017 - Jupyter Notebook
Bayesian X-ray analysis (nested sampling for Xspec and Sherpa)
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Updated
Oct 22, 2020 - Python
skrobot is a Python module for designing, running and tracking Machine Learning experiments / tasks. It is built on top of scikit-learn framework.
python
data-science
machine-learning
scikit-learn
feature-selection
artificial-intelligence
model-selection
modelling
hyperparameter-tuning
model-evaluation
model-training
model-tuning
predictive-modelling
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Updated
Nov 29, 2020 - Python
Code examples for SharpLearning
machine-learning
examples
optimization
cross-validation
regression
model-selection
classification
example-project
sharplearning
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Updated
Nov 22, 2019 - C#
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When I have a cluster already running, I sometimes want to re-run the setup commands even if there's no changes, without having to shut down the cluster. For example if I am installing a package via a Github repo, I want to trigger the install again after pushing new changes.
However, calling
ray updoesn