Lorenzo Stella's repositories
ProtoGrad.jl
Deep learning 99% fat free
ProximalOperators.jl
Proximal operators for nonsmooth optimization in Julia
AbstractDifferentiation.jl
An abstract interface for automatic differentiation.
adaptive-proximal-algorithms
A Julia package for adaptive proximal gradient and primal-dual algorithms
amazon-sagemaker-examples
Example notebooks that show how to apply machine learning and deep learning in Amazon SageMaker
awesome-advent-of-code
A collection of awesome resources related to the yearly Advent of Code challenge.
ChainRulesCore.jl
AD-backend agnostic system defining custom forward and reverse mode rules. This is the light weight core to allow you to define rules for your functions in your packages, without depending on any particular AD system.
chronos-forecasting
Chronos: Pretrained Models for Time Series Forecasting
DiffEqDocs.jl
Documentation for the DiffEq differential equations and scientific machine learning (SciML) ecosystem
IterativeSolvers.jl
Iterative algorithms for solving linear systems, eigensystems, and singular value problems
Llama2.jl
llama2.c but in Julia
ProximalAlgorithms.jl
Proximal algorithms for nonsmooth optimization in Julia
QPALM.jl
Julia interface to the QPALM QP solver
www.julialang.org
Julia Project website