Stars
OpenBLAS is an optimized BLAS library based on GotoBLAS2 1.13 BSD version.
Solving differential equations in Python using DifferentialEquations.jl and the SciML Scientific Machine Learning organization
NASA's aircraft analysis, design, and optimization tool
Ridiculously fast symbolic expressions
Bayesian inference with probabilistic programming.
An opinionated code formatter for Julia. Plot twist - the opinion is your own.
A parameterisation and optimisation package for battery models.
Pre-built implicit layer architectures with O(1) backprop, GPUs, and stiff+non-stiff DE solvers, demonstrating scientific machine learning (SciML) and physics-informed machine learning methods
High-performance and differentiation-enabled nonlinear solvers (Newton methods), bracketed rootfinding (bisection, Falsi), with sparsity and Newton-Krylov support.
Fully-differentiable multi physics finite-volume simulators
Differentiable simulation of batteries in Julia using Jutul.jl
Source code for the X Recommendation Algorithm
Compiles Julia code to a standalone library (experimental)
An acausal modeling framework for automatically parallelized scientific machine learning (SciML) in Julia. A computer algebra system for integrated symbolics for physics-informed machine learning a…
Add Conda dependencies to your Julia project
A battery pack simulation tool that uses the PyBaMM framework
Distributed High-Performance Symbolic Regression in Julia
Menubar Tool to set Charge Limits and Prolong Battery Lifespan
Modeling language for Mathematical Optimization (linear, mixed-integer, conic, semidefinite, nonlinear)
CasADi is a symbolic framework for numeric optimization implementing automatic differentiation in forward and reverse modes on sparse matrix-valued computational graphs. It supports self-contained …
Battery Cost Model developed in the Viswanathan group at Carnegie Mellon.