by Meta (Facebook) · 0 reviews
An open-source time series forecasting library that uses an additive model with non-linear trends, seasonal components, and holiday effects, available in Python and R.
by Google Research · 0 reviews
A transformer-based architecture for multi-horizon time series forecasting that provides interpretable predictions through attention mechanisms.
by DLR-RM · 0 reviews
Open-source implementations of deep reinforcement learning algorithms in PyTorch with consistent interfaces and documentation.
by OpenAI · 0 reviews
A policy gradient reinforcement learning algorithm that balances sample complexity and simplicity through clipped probability ratios.
by Nixtla · 0 reviews
A high-performance time series forecasting library featuring AutoARIMA, ETS, and other statistical models optimized for speed.
by Google DeepMind · 0 reviews
A foundational deep reinforcement learning algorithm combining Q-learning with neural networks, using experience replay and target networks.