Stars
Relax! Flux is the ML library that doesn't make you tensor
Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components. Ordinary differential equations (ODEs), stochastic differential equat…
Modeling language for Mathematical Optimization (linear, mixed-integer, conic, semidefinite, nonlinear)
Powerful convenience for Julia visualizations and data analysis
Curated decibans of Julia programming language.
Automatically update function definitions in a running Julia session
Physics-Informed Neural Networks (PINN) Solvers of (Partial) Differential Equations for Scientific Machine Learning (SciML) accelerated simulation
Forward Mode Automatic Differentiation for Julia
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
Progress meter for long-running computations
Convert julia objects to LaTeX equations, arrays or other environments.
Julia package for tensor contractions and related operations
Probabilistic programming via source rewriting
Save and load data in the HDF5 file format from Julia
Plotting for Julia based on GR, a framework for visualisation applications
Reverse Mode Automatic Differentiation for Julia
Probabilistic Programming with Gaussian processes in Julia
Sensible extensions for exposing torch in Julia.
Robust robotic localization and mapping, together with NavAbility(TM). Reach out to info@wherewhen.ai for help.