#
model-selection
Here are 156 public repositories matching this topic...
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
Aug 26, 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
Aug 24, 2020 - Python
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
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
Aug 7, 2020
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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Updated
Feb 14, 2017 - Jupyter Notebook
Dynamic Nested Sampling package for computing Bayesian posteriors and evidences
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Updated
Aug 7, 2020 - Python
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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Updated
Aug 20, 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
Jul 17, 2020 - C++
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
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
Aug 5, 2020 - Python
Probabilistic programming framework that facilitates objective model selection for time-varying parameter models.
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Updated
Mar 23, 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
Aug 17, 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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Updated
Aug 28, 2018 - Python
Random Forests in Apache Spark
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Updated
Jun 13, 2019 - Scala
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 25, 2020 - Python
data-science
machine-learning
r
statistics
regression
model-selection
ensemble-learning
r-package
ensemble-model
stacking
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Updated
Aug 7, 2020 - R
Heuristic and inference engine for estimating the number of communities in a bipartite network
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Updated
Jun 26, 2020 - Python
BAS R package
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Updated
Aug 24, 2020 - C
Fit and compare complex models reliably and rapidly. Advanced nested sampling.
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Updated
Jul 22, 2020 - Python
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
Onepanel AutoML
python
data-science
machine-learning
deep-learning
scikit-learn
artificial-intelligence
model-selection
xgboost
hyperparameter-optimization
hyperparameter-tuning
automl
gradient-boosting
automated-machine-learning
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Updated
Jun 6, 2018 - Python
Bayesian X-ray analysis (nested sampling for Xspec and Sherpa)
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Updated
Aug 10, 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
nlp-machine-learning
prediction-model
logisitic-regression
decision-tree-regression
customer-segmentation
random-forest-regression
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Updated
Sep 19, 2019 - Python
Genetic Algorithm in Python, which could be used for Sampling, Feature Select, Model Select, etc in Machine Learning
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Updated
Aug 19, 2019 - Python
Python 3.7 version of David Barber's MATLAB BRMLtoolbox
machine-learning
statistics
matlab
bayesian-network
bayesian-methods
model-selection
supervised-learning
bayesian
graphical-models
bayesian-inference
bayesian-networks
bayesian-optimization
bayesian-data-analysis
bayesian-statistics
bayesian-analysis
bayesian-neural-networks
markov-networks
supervised-machine-learning
supervised-learning-algorithms
statistics-toolbox
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Updated
Aug 18, 2018 - 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#
Sequential Monte Carlo sampler for PyMC2 models.
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Updated
Apr 4, 2018 - Python
Term 1 Project 3 Design a Sign Language Recognition System by Luke Schoen for Udacity Artificial Intelligence Nanodegree (AIND)
natural-language-processing
cross-platform
algorithms
jupyter-notebook
n-grams
feature-selection
artificial-intelligence
model-selection
python36
baum-welch
hidden-markov-models
probabilistic-models
pandas-dataframes
sign-language-recognition-system
model-training
bayesian-information-criterion
discriminative-criterion
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Updated
May 2, 2017 - Jupyter Notebook
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