#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

#python #automl #detection #efficientdet

https://github.com/google/automl

#html #artificial_intelligence #automl #azure_ml #best_practices #deep_learning #demand_forecasting #dilated_cnn #forecasting #hyperparameter_tuning #jupyter_notebook #lightgbm #machine_learning #model_deployment #prophet #python #r #retail #statistical_models #tidyverse #time_series

https://github.com/microsoft/forecasting

#python #automl #benchmark #dataset #mnist

https://github.com/MedMNIST/MedMNIST

#python #automl #graph_neural_networks #hyper_parameter_optimization #pytorch #pytorch_geometric

https://github.com/THUMNLab/AutoGL

#python #nlp #sparsity #tensorflow #keras #pytorch #deep_learning_algorithms #image_classification #deep_learning_library #pruning #object_detection #automl #computer_vision_algorithms #onnx #deep_learning_models #sparsification #pruning_algorithms #smaller_models #model_sparsification #sparsification_recipes #recipe_driven_approaches

https://github.com/neuralmagic/sparseml

#python #artificial_intelligence #automl #clickhouse #explainable_ai #explainable_ml #hacktoberfest #machine_learning #machine_learning_api #mariadb #ml #mysql #postgresql #pytorch #singlestore #snowflake

https://github.com/mindsdb/mindsdb

#python #automl #distributed #genetic_algorithm #julia #machine_learning #numpy #symbolic_regression

https://github.com/MilesCranmer/PySR

#jupyter_notebook #automated_machine_learning #automl #classification #data_science #deep_learning #finetuning #hyperparam #hyperparameter_optimization #jupyter_notebook #machine_learning #natural_language_generation #natural_language_processing #python #random_forest #regression #scikit_learn #tabular_data #timeseries_forecasting #tuning

https://github.com/microsoft/FLAML

#python #ai #automl #data_science #deep_learning #devops_tools #hacktoberfest #llm #llmops #machine_learning #metadata_tracking #ml #mlops #pipelines #production_ready #pytorch #tensorflow #workflow #zenml

https://github.com/zenml-io/zenml

#jupyter_notebook #ai #aihub #argo #automl #gpt #inference #kubeflow #kubernetes #llmops #mlops #notebook #pipeline #pytorch #spark #vgpu #workflow

https://github.com/tencentmusic/cube-studio

#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

#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

#other #automl #chatgpt #data_analysis #data_science #data_visualization #data_visualizations #deep_learning #gpt #gpt_3 #jax #keras #machine_learning #ml #nlp #python #pytorch #scikit_learn #tensorflow #transformer

This is a comprehensive, regularly updated list of 920 top open-source Python machine learning libraries, organized into 34 categories like frameworks, data visualization, NLP, image processing, and more. Each project is ranked by quality using GitHub and package manager metrics, helping you find the best tools for your needs. Popular libraries like TensorFlow, PyTorch, scikit-learn, and Hugging Face transformers are included, along with specialized ones for time series, reinforcement learning, and model interpretability. This resource saves you time by guiding you to high-quality, actively maintained libraries for building, optimizing, and deploying machine learning models efficiently.

https://github.com/ml-tooling/best-of-ml-python