Code repository with classical reinforcement learning and deep reinforcement learning methods for Pokémon battles in Pokémon Showdown.
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Updated
Jun 1, 2024 - Jupyter Notebook
Code repository with classical reinforcement learning and deep reinforcement learning methods for Pokémon battles in Pokémon Showdown.
BioSTEAM's Premier Repository for Biorefinery Models and Results
pyMBE provides tools to facilitate building up molecules with complex architectures in the Molecular Dynamics software ESPResSo. For an up-to-date API documention please check our website:
MPI-parallel implementation of the Multigrid Monte Carlo method based on PETSc
TREKIS-3: Time-Resolved Electron Kinetics in SHI-Irradiated Solids
Virtual Tissue Simulator
The Biorefinery Simulation and Techno-Economic Analysis Modules; Life Cycle Assessment; Chemical Process Simulation Under Uncertainty
UQpy (Uncertainty Quantification with python) is a general purpose Python toolbox for modeling uncertainty in physical and mathematical systems.
Celeritas is a new Monte Carlo transport code designed to accelerate scientific discovery in high energy physics by improving detector simulation throughput and energy efficiency using GPUs.
MontePy is a Python library (API) to read, edit, and write MCNP input files.
Markov chain Monte Carlo solver for lattice spin systems implemented in Julialang
ParaMonte: Parallel Monte Carlo and Machine Learning Library for Python, MATLAB, Fortran, C++, C.
Correlation, sampling, sensitivity, inference and random linear algebra routines in rust
Data analysis of 1701 supernovae distances to estimate cosmological parameters using Markov Chain Monte Carlo
Fit and compare complex models reliably and rapidly. Advanced nested sampling.
Generating Deep Potential with Python
🌧️ Forecast the future to prepare for rainy days
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