Stars
A simplified, unified HEC-DSS Library for Python
Recipes for reproducing Analysis-Ready & Cloud Optimized (ARCO) ERA5 datasets.
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
Numerical Methods in Civil & Environmental Engineering. UC Davis ECI 115.
Digital Twin for Water Distribution Systems. A work by the SUTD Critical Infrastructure Systems Lab, TU Delft, CISPA, and iTrust
An API standard for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)
An EPANET compatible python package to simulate and analyze water distribution networks under disaster scenarios.
Deep Learning for empirical DownScaling. Python package with state-of-the-art and novel deep learning algorithms for empirical/statistical downscaling of gridded data
Mastering Atari with Discrete World Models
Learning Latent Dynamics for Planning from Pixels
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
Really Fast End-to-End Jax RL Implementations
Learning in infinite dimension with neural operators.
Implementing the Denoising Diffusion Probabilistic Model in Flax
Running parametric t-SNE by Laurens Van Der Maaten with Octave and oct2py.
Tutorials for basic analysis of CMIP6 climate models on the Google Cloud Platform.
Examples of using the Planetary Computer