#
model-selection
Here are 162 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
-
Updated
Sep 15, 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
-
Updated
Sep 18, 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
-
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
-
Updated
Sep 10, 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
-
Updated
Feb 14, 2017 - Jupyter Notebook
Dynamic Nested Sampling package for computing Bayesian posteriors and evidences
-
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
-
Updated
Sep 10, 2020 - Python
Efficient phylogenomic software by maximum likelihood
phylogenetics
model-selection
mixture-model
maximum-likelihood
phylogenomics
iq-tree
ultrafast-bootstrap
-
Updated
Sep 29, 2020 - C++
Time Series Cross-Validation -- an extension for scikit-learn
data-science
machine-learning
time-series
cross-validation
model-selection
hyperparameter-optimization
tuning-parameters
backtesting
-
Updated
Feb 20, 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
-
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
-
Updated
Aug 5, 2020 - Python
Probabilistic programming framework that facilitates objective model selection for time-varying parameter models.
-
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
-
Updated
Sep 15, 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
-
Updated
Aug 28, 2018 - Python
Random Forests in Apache Spark
-
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
-
Updated
Aug 29, 2020 - Python
data-science
machine-learning
r
statistics
regression
model-selection
ensemble-learning
r-package
ensemble-model
stacking
-
Updated
Sep 24, 2020 - R
angela97lin
commented
Aug 17, 2020
As @kmax12 mentioned in #985, we can use SHAP values to create partial dependency plots: https://slundberg.github.io/shap/notebooks/plots/dependence_plot.html
Heuristic and inference engine for estimating the number of communities in a bipartite network
-
Updated
Sep 25, 2020 - Python
BAS R package
-
Updated
Sep 9, 2020 - C
Automating Outlier Detection via Meta-Learning (Code, API, and Contribution Instructions)
-
Updated
Sep 28, 2020 - Python
Fit and compare complex models reliably and rapidly. Advanced nested sampling.
-
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
-
Updated
Oct 3, 2017 - Jupyter Notebook
Bayesian X-ray analysis (nested sampling for Xspec and Sherpa)
-
Updated
Aug 10, 2020 - Python
eaglewarrior
commented
Sep 28, 2020
- Star it
- Fork the repo
- Clone it onto your PC.
- Create a folder with your GitHub username
- Create separate files for all the issues you are solving and always open an issue which has all details of the process or method you will use to perform anomaly detection and wait till it is assigned (not more than 2-3 hours it will take, we are passionate open source developers )
- Open PRs
Code examples for SharpLearning
machine-learning
examples
optimization
cross-validation
regression
model-selection
classification
example-project
sharplearning
-
Updated
Nov 22, 2019 - C#
Genetic Algorithm in Python, which could be used for Sampling, Feature Select, Model Select, etc in Machine Learning
-
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
-
Updated
Aug 18, 2018 - Python
Sequential Monte Carlo sampler for PyMC2 models.
-
Updated
Apr 4, 2018 - Python
Improve this page
Add a description, image, and links to the model-selection topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the model-selection topic, visit your repo's landing page and select "manage topics."
What is the problem?
Although @ray.remote contains an argument for placement group, it doesn't work. We should either remove it or allow it. (placement_group_capture_child_task)
Reproduction (REQUIRED)
Please provide a script that can be run to reproduce the issue. The script should have **no