sktime/pytorch-forecasting

neural networks for time series forecasting with multiple architectures and built-in interpretability

View on index · View in 3D Map

Related repos

• Pretrained models for time series forecasting using language model architectures
• deep time series models library for forecasting, imputation, anomaly detection, and classification
• Notebooks for building neural networks and LLM systems from scratch
• example code and pretrained models for machine learning weather forecasting
• visualizes neural network and machine learning models
• Visualizes neural network architectures from code
• test-time adaptation for time series forecasting
• Neural network library in C from scratch
• A foundation model for time series forecasting
• Python library for time series forecasting, anomaly detection, and benchmarking