ekblad

ekblad's Stars

• karpathy/minGPT

  A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training

  Language:Python21.5k267722.8k

• Farama-Foundation/Gymnasium

  An API standard for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)

  Language:Python8.4k51503943

• google/trax

  Trax — Deep Learning with Clear Code and Speed

  Language:Python8.2k138232824

• matze/mtheme

  A modern LaTeX Beamer theme

  Language:TeX6.5k123277845

• vwxyzjn/cleanrl

  High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)

  Language:Python6.5k39191711

• neuraloperator/neuraloperator

  Learning in infinite dimension with neural operators.

  Language:Python2.5k37234624

• tensorly/tensorly

  TensorLy: Tensor Learning in Python.

  Language:Python1.6k44274296

• google-research/planet

  Learning Latent Dynamics for Planning from Pixels

  Language:Python1.2k4551203

• danijar/dreamerv2

  Mastering Atari with Discrete World Models

  Language:Python9232754197

• luchris429/purejaxrl

  Really Fast End-to-End Jax RL Implementations

  Language:Python826122468

• microsoft/PlanetaryComputerExamples

  Examples of using the Planetary Computer

  Language:Jupyter Notebook3942245196

• google-research/arco-era5

  Recipes for reproducing Analysis-Ready & Cloud Optimized (ARCO) ERA5 datasets.

  Language:Python362215026

• USEPA/WNTR

  An EPANET compatible python package to simulate and analyze water distribution networks under disaster scenarios.

  Language:Python33940253193

• kylemcdonald/Parametric-t-SNE

  Running parametric t-SNE by Laurens Van Der Maaten with Octave and oct2py.

  Language:Jupyter Notebook26617589

• yiyixuxu/denoising-diffusion-flax

  Implementing the Denoising Diffusion Probabilistic Model in Flax

  Language:Jupyter Notebook1473325

• danijar/director

  Deep Hierarchical Planning from Pixels

  Language:Python944823

• carlos-gg/dl4ds

  Deep Learning for empirical DownScaling. Python package with state-of-the-art and novel deep learning algorithms for empirical/statistical downscaling of gridded data

  Language:Jupyter Notebook9021129

• xarray-contrib/xarray-simlab

  Xarray extension and framework for computer model simulations

  Language:Python7469210

• hdrake/cmip6-temperature-demo

  Tutorials for basic analysis of CMIP6 climate models on the Google Cloud Platform.

  Language:Jupyter Notebook725428

• earth-mover/dataloader-demo

  Language:Jupyter Notebook51406

• Critical-Infrastructure-Systems-Lab/DHALSIM

  Digital Twin for Water Distribution Systems. A work by the SUTD Critical Infrastructure Systems Lab, TU Delft, CISPA, and iTrust

  Language:Python5081725

• juliuskunze/cwvae-jax

  Clockwork VAEs in JAX/Flax

  Language:Python32433

• yrobink/SBCK

  Language:Python24569

• timoklein/alphazero-gym

  AlphaZero for continuous control tasks

  Language:Python23374

• NREL/WaterTAP3

  Language:Python1083713

• reedgroup/reedgroup.github.io

  Lab manual for the Reed Group at Cornell CEE

  6380

• CentralValleyModeling/pandss

  A simplified, unified HEC-DSS Library for Python

  Language:Python5990

• jdherman/eci115

  Numerical Methods in Civil & Environmental Engineering. UC Davis ECI 115.

  Language:Jupyter Notebook4101

• JazminZatarain/Multiobjective-multi-reservoir-control

  Language:Jupyter Notebook3102

• m-zaniolo/DRIPP

  Drought Resilient Interscale Portfolio Planning

  Language:Python1101