#python #automl #computer_vision #data_science #deep_learning #distributed_computing #ensemble_learning #gluon #image_classification #machine_learning #mxnet #natural_language_processing #object_detection #pytorch #structured_data #transfer_learning
https://github.com/awslabs/autogluon
https://github.com/awslabs/autogluon
GitHub
GitHub - autogluon/autogluon: Fast and Accurate ML in 3 Lines of Code
Fast and Accurate ML in 3 Lines of Code. Contribute to autogluon/autogluon development by creating an account on GitHub.
#other #artificial_intelligence #autograd #bayesian_statistics #convolutional_neural_networks #data_science #deep_learning #ensemble_learning #feature_extraction #graduate_school #information_theory #interview_preparation #jax #jobs #logistic_regression #loss_functions #machine_learning #python #pytorch #pytorch_tutorial
https://github.com/BoltzmannEntropy/interviews.ai
https://github.com/BoltzmannEntropy/interviews.ai
GitHub
GitHub - BoltzmannEntropy/interviews.ai: It is my belief that you, the postgraduate students and job-seekers for whom the book…
It is my belief that you, the postgraduate students and job-seekers for whom the book is primarily meant will benefit from reading it; however, it is my hope that even the most experienced research...
#python #anomaly_detection #benchmark #data_mining #data_sicence #deep_learning #ensemble_learning #machine_learning #neural_networks #outlier_detection #semi_supervised_learning #supervised_learning #unsupervised_learning
https://github.com/Minqi824/ADBench
https://github.com/Minqi824/ADBench
GitHub
GitHub - Minqi824/ADBench: Official Implement of "ADBench: Anomaly Detection Benchmark", NeurIPS 2022.
Official Implement of "ADBench: Anomaly Detection Benchmark", NeurIPS 2022. - Minqi824/ADBench
#python #autogluon #automated_machine_learning #automl #computer_vision #data_science #deep_learning #ensemble_learning #forecasting #gluon #hyperparameter_optimization #machine_learning #natural_language_processing #object_detection #python #pytorch #scikit_learn #structured_data #tabular_data #time_series #transfer_learning
AutoGluon makes machine learning easy and fast. With just a few lines of code, you can train and use high-accuracy models for images, text, time series, and tabular data. This means you can quickly build and deploy powerful machine learning models without needing to write a lot of code. It supports Python 3.8 to 3.11 and works on Linux, MacOS, and Windows, making it convenient for various users. This saves time and effort, allowing you to focus on other parts of your project.
https://github.com/autogluon/autogluon
AutoGluon makes machine learning easy and fast. With just a few lines of code, you can train and use high-accuracy models for images, text, time series, and tabular data. This means you can quickly build and deploy powerful machine learning models without needing to write a lot of code. It supports Python 3.8 to 3.11 and works on Linux, MacOS, and Windows, making it convenient for various users. This saves time and effort, allowing you to focus on other parts of your project.
https://github.com/autogluon/autogluon
GitHub
GitHub - autogluon/autogluon: Fast and Accurate ML in 3 Lines of Code
Fast and Accurate ML in 3 Lines of Code. Contribute to autogluon/autogluon development by creating an account on GitHub.
#python #anomaly_detection #automl #benchmarking #ensemble_learning #forecasting #machine_learning #time_series
Merlion is a Python library that helps with time series tasks like forecasting and anomaly detection. It provides an easy-to-use framework for loading data, building models, and evaluating their performance. Merlion supports both univariate and multivariate time series and includes features like AutoML for hyperparameter tuning and model selection, as well as ensemble methods to combine multiple models for better results. This makes it easier for users to quickly develop and test models without needing extensive machine learning knowledge.
https://github.com/salesforce/Merlion
Merlion is a Python library that helps with time series tasks like forecasting and anomaly detection. It provides an easy-to-use framework for loading data, building models, and evaluating their performance. Merlion supports both univariate and multivariate time series and includes features like AutoML for hyperparameter tuning and model selection, as well as ensemble methods to combine multiple models for better results. This makes it easier for users to quickly develop and test models without needing extensive machine learning knowledge.
https://github.com/salesforce/Merlion
GitHub
GitHub - salesforce/Merlion: Merlion: A Machine Learning Framework for Time Series Intelligence
Merlion: A Machine Learning Framework for Time Series Intelligence - salesforce/Merlion