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dmlc / xgboost

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Trusted-AI / adversarial-robustness-toolbox

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Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference

python deep-neural-networks attack scikit-learn extraction artificial-intelligence xgboost lightgbm logistic-regression support-vector-machine decision-trees poisoning adversarial-machine-learning adversarial-examples adversarial-attacks gradient-boosted-trees defense-methods codait trusted-ai
  • Updated Dec 10, 2020
  • Python

BayesWitnesses / m2cgen

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add option to save generated code into file

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StrikerRUS
StrikerRUS commented Oct 18, 2019

I'm sorry if I missed this functionality, but CLI version hasn't it for sure (I saw the related code only in generate_code_examples.py). I guess it will be very useful to eliminate copy-paste phase, especially for large models.

Of course, piping is a solution, but not for development in Jupyter Notebook, for example.

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enhancement good first issue
awesome-decision-tree-papers

benedekrozemberczki / awesome-decision-tree-papers

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A collection of research papers on decision, classification and regression trees with implementations.

classifier machine-learning random-forest statistical-learning xgboost lightgbm gradient-boosting-machine ensemble-learning cart decision-tree tree-ensemble decision-tree-classifier gradient-boosting classification-trees decision-tree-learning decision-tree-model classification-model catboost regression-tree machine-learning-research
  • Updated Dec 8, 2020
  • Python

kubeflow / kfserving

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Document v1beta1 canary example

yuzisun
yuzisun commented Nov 23, 2020

/kind feature

Describe the solution you'd like
In v1beta1 canary implementation has been changed from traffic split at knative service to revision level, we need to document an new example and implementation details can be found from the RFC.

**Anything else you would like to

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awesome-gradient-boosting-papers

benedekrozemberczki / awesome-gradient-boosting-papers

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A curated list of gradient boosting research papers with implementations.

classifier machine-learning deep-learning random-forest h2o xgboost lightgbm gradient-boosting-machine adaboost decision-tree gradient-boosting-classifier classification-algorithm gradient-boosting boosting classification-trees xgboost-algorithm catboost gradient-boosted-trees classification-tree gradient-boosting-decision-trees
  • Updated Dec 8, 2020
  • Python

interviewBubble / Data-Science-Competitions

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Goal of this repo is to provide the solutions of all Data Science Competitions(Kaggle, Data Hack, Machine Hack, Driven Data etc...).

data-science machine-learning kaggle kaggle-competition xgboost data-science-competition competition-code analytics-vidhya data-science-competitions datahack-competition machinehack-competition kaggle-winning-solutions-github kaggle-competition-solutions kaggle-competition-for-beginners kaggle-solutions-github competitive-data-science-github
  • Updated Jan 30, 2020

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