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algorithmic-efficiency icon algorithmic-efficiency

MLCommons Algorithmic Efficiency is a benchmark and competition measuring neural network training speedups due to algorithmic improvements in both training algorithms and models.

blacktex icon blacktex

:black_heart: Cleans up your LaTeX files.

chainrulescore.jl icon 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.

codebook icon codebook

Source for The Good Research Code Handbook

compathelper.jl icon compathelper.jl

Automatically update the [compat] entries for your Julia package's dependencies

dibs icon dibs

DiBS: Differentiable Bayesian Structure Learning, NeurIPS 2021

distributions.jl icon distributions.jl

A Julia package for probability distributions and associated functions.

doomemacs icon doomemacs

An Emacs framework for the stubborn martian hacker

dynamichmc.jl icon dynamichmc.jl

Implementation of robust dynamic Hamiltonian Monte Carlo methods (NUTS) in Julia.

enzyme.jl icon enzyme.jl

Julia bindings for the Enzyme automatic differentiator

gpflow icon gpflow

Gaussian processes in TensorFlow

gpflux icon gpflux

Deep GPs built on top of TensorFlow/Keras and GPflow

gpytorch icon gpytorch

A highly efficient and modular implementation of Gaussian Processes in PyTorch

julia icon julia

The Julia Programming Language

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