DAMO-DI-ML/NeurIPS2023-One-Fits-All

Using pretrained language models to tackle all kinds of time series analysis, from forecasting to anomaly detection

View on index · View in 3D Map

Related repos

• deep time series models library for forecasting, imputation, anomaly detection, and classification
• Generative pre-trained transformers for time series analysis
• Pretrained models for time series forecasting using language model architectures
• AI that invents new neural models by itself
• Analyzes stock trends with large language models
• test-time adaptation for time series forecasting
• speech-to-text and sequence-to-sequence models using delayed streams for streaming tasks
• open notes and guides for training large language models
• neural networks for time series forecasting with multiple architectures and built-in interpretability
• Large language model using diffusion for text generation