#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 #forecasting #forecasting_models #machine_learning #time_series

https://github.com/unit8co/darts

#other #awesome #awesome_list #classification #dataset #deep_learning #forecasting #image_classification #machine_learning #multi_label_classification #series_forecasting

https://github.com/NirantK/awesome-project-ideas

#python #deep_learning #forecasting #pytorch #self_attention #time_series

https://github.com/zhouhaoyi/Informer2020

#python #deep_learning #forecasting #machine_learning #mxnet #neural_networks #pytorch #time_series #time_series_forecasting #time_series_prediction

https://github.com/awslabs/gluon-ts

#jupyter_notebook #arima #econometrics #forecasting #machine_learning #python #statistics #time_series #timeseries

https://github.com/Nixtla/statsforecast

#python #data_mining #data_science #forecasting #machine_learning #scikit_learn #time_series #time_series_analysis #time_series_classification #time_series_regression

https://github.com/sktime/sktime

#jupyter_notebook #computer_vision #deep_learning #drug_discovery #forecasting #large_language_models #mxnet #nlp #paddlepaddle #pytorch #recommender_systems #speech_recognition #speech_synthesis #tensorflow #tensorflow2 #translation

This repository provides top-quality deep learning examples that are easy to train and deploy on NVIDIA GPUs. It includes a wide range of models for computer vision, natural language processing, recommender systems, speech to text, and more. These examples are updated monthly and come in Docker containers with the latest NVIDIA software, ensuring the best performance. The models support multiple GPUs and nodes, and some are optimized for Tensor Cores, which can significantly speed up training. This makes it easier for users to achieve high accuracy and performance in their deep learning projects.

https://github.com/NVIDIA/DeepLearningExamples

#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