Code for "Neural Controlled Differential Equations for Irregular Time Series" (Neurips 2020 Spotlight)
APACHE-2.0 License
Modularized Implementation of Deep RL Algorithms in PyTorch
A flexible package for multimodal-deep-learning to combine tabular data with text and images usin...
Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)
Learning in infinite dimension with neural operators.
Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch
Network-to-Network Translation with Conditional Invertible Neural Networks
Formulating Model-based RL Dynamics as a continuous rather then one step prediction
The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relat...
Open-source, graph-based Python code generator and analysis toolbox for dynamical systems (pre-im...
implementing "recurrent attentive neural processes" to forecast power usage (w. LSTM baseline, MC...
Benchmark time series data sets for PyTorch
Differentiable SDE solvers with GPU support and efficient sensitivity analysis.
A PyTorch library entirely dedicated to neural differential equations, implicit models and relate...
Differentiable controlled differential equation solvers for PyTorch with GPU support and memory-e...