Efficient optimizers

🧱 Modula software package

Pytorch implementation of preconditioned stochastic gradient descent (Kron and affine preconditioner, low-rank approximation preconditioner and more)

An implementation of PSGD Kron second-order optimizer for PyTorch

Get environment variables from .env files in your Julia projects.

Optimize Julia Functions With MLIR and XLA for High-Performance Execution on CPU, GPU, TPU and more.

Julia package for microstructure imaging

Kolmogorov Arnold Networks

An interface to various automatic differentiation backends in Julia.

language level autograd compiler for Julia

An efficient sampler for discrete random variables

Pirated SLEEF port.

Tensors and Dynamic neural networks in Python with strong GPU acceleration

Schedule-Free Optimization in PyTorch

A Julia interface for working with vector like objects

A Julia implementation of choice sequence based PBT, inspired by Hypothesis

Benchmarks with back support

A small package for creating bitfield-like structs.

Library for validated numerics using interval arithmetic

Library for finding the roots of a function using interval arithmetic

math with more good bits

Implementation in Julia of unitary core transformations approach to finding eigenvalues of companion matrices

Nonlinear least squares solver

Bring Your Own Stack

Parsing basic types in julia

One-dimensional numerical integration using the double exponential formula

Deep universal probabilistic programming with Python and PyTorch