Awesome Open Source
Search
Programming Languages
Languages
All Categories
Categories
About
Search results for julia gradient
gradient
x
julia
x
32 search results found
Zygote.jl
⭐
1,415
21st century AD
Tullio.jl
⭐
559
⅀
Reversediff.jl
⭐
327
Reverse Mode Automatic Differentiation for Julia
Xgboost.jl
⭐
274
XGBoost Julia Package
Deepneuralclassifier
⭐
243
Deep neural network using rectified linear units to classify hand written symbols from the MNIST dataset.
Dojo.jl
⭐
237
A differentiable physics engine for robotics
Finitediff.jl
⭐
221
Fast non-allocating calculations of gradients, Jacobians, and Hessians with sparsity support
Colors.jl
⭐
176
Color manipulation utilities for Julia
Colorschemes.jl
⭐
165
colorschemes, colormaps, gradients, and palettes
Klara.jl
⭐
161
MCMC inference in Julia
Autograd.jl
⭐
160
Julia port of the Python autograd package.
Zigzagboomerang.jl
⭐
83
Sleek implementations of the ZigZag, Boomerang and other assorted piecewise deterministic Markov processes for Markov Chain Monte Carlo including Sticky PDMPs for variable selection
Jlboost.jl
⭐
61
A 100%-Julia implementation of Gradient-Boosting Regression Tree algorithms
Libcg
⭐
51
Bolt.jl
⭐
40
differentiable boltzmann code
Xla.jl
⭐
39
"Maybe we have our own magic."
Logdensityproblems.jl
⭐
34
A common framework for implementing and using log densities for inference.
Optimkit.jl
⭐
30
OptimKit: A blissfully ignorant Julia package for gradient optimization
Adfem.jl
⭐
28
Innovative, efficient, and computational-graph-based finite element simulator for inverse modeling
Nlsolvers.jl
⭐
26
No bells and whistles foundation of Optim.jl
Mathoptsetdistances.jl
⭐
24
Distances to sets for MathOptInterface
Slicemap.jl
⭐
22
Same-same but different
Gradientrobustmultiphysics.jl
⭐
22
Finite Element Module for Julia that focusses on gradient-robust discretisations and multiphysics problems
Robodojo.jl
⭐
20
A differentiable simulator for robotic systems.
Gcmaes.jl
⭐
19
Gradient-based Covariance Matrix Adaptation Evolutionary Strategy for Real Blackbox Optimization
Empiricalrisks.jl
⭐
19
Julia implementation of predictors and loss functions for empirical risk minimization
Gradientboost.jl
⭐
17
Gradient boosting framework for Julia.
Colorschemetools.jl
⭐
16
tools for working with color schemes, color maps, gradients
Subsetselection.jl
⭐
16
Fast Subset Selection algorithm for Statistics/Machine Learning
Onlinelearning.jl
⭐
14
Imageedgedetection.jl
⭐
14
A Julia package for determining image edges (up to subpixel precision) and ascertaining the gradient/edge orientations.
Stochopt.jl
⭐
13
A suite of stochastic optimization methods for solving the empirical risk minimization problem.
Sgmcmc.jl
⭐
13
Stochastic Gradient Markov Chain Monte Carlo and Optimisation
Simplemcmc.jl
⭐
12
basic mcmc sampler implemented in Julia
Lyceumai.jl
⭐
10
Xfoil.jl
⭐
10
Julia wrapper for the 2D airfoil panel code XFOIL
Divergences.jl
⭐
9
A Julia package for evaluation of divergences between distributions
Dg2012tutorial.jl
⭐
8
Simple examples of SGD-style computations in Julia
Deterministicpolicygradient.jl
⭐
7
Reinforcement learning with Deterministic Policy Gradient methods
Adversarial.jl
⭐
7
Adversarial attacks for Neural Networks written with FluxML
Hmmgradients.jl
⭐
6
Enables computing the gradient of the parameters of Hidden Markov Models (HMMs)
Drl.jl
⭐
5
deep reinforcement learning for julia
Praytools.jl
⭐
5
A collection of routines to simplify boring stuff around training NNs.
Lbfgsb.jl
⭐
5
A Julia wrapper of the l-bfgs-b fortran library
Related Searches
Python Gradient (1,485)
Jupyter Notebook Gradient (660)
Jupyter Notebook Julia (606)
Javascript Gradient (594)
Python Julia (406)
Julia Optimization (365)
Algorithms Julia (323)
Julia Repl (300)
Types Julia (282)
Machine Learning Gradient (278)
1-32 of 32 search results
Privacy
|
About
|
Terms
|
Follow Us On Twitter
Copyright 2018-2024 Awesome Open Source. All rights reserved.