dummy-link

Top Pkgs Packages

1

Flux

Relax! Flux is the ML library that doesn't make you tensor

2

Gadfly

Crafty statistical graphics for Julia.

3

Knet

Koç University deep learning framework.

4

Mocha

Deep Learning framework for Julia

5

Plots

Powerful convenience for Julia visualizations and data analysis

6

Turing

Bayesian inference with probabilistic programming.

7

DataFrames

In-memory tabular data in Julia

8

TensorFlow

A Julia wrapper for TensorFlow

9

Makie

High level plotting on the GPU.

10

PackageCompiler

Compile your Julia Package

11

Revise

Automatically update function definitions in a running Julia session

12

Optim

Optimization functions for Julia

13

DSGE

Solve and estimate Dynamic Stochastic General Equilibrium models (including the New York Fed DSGE)

14

Cxx

The Julia C++ Interface

15

Weave

Scientific reports/literate programming for Julia

16

ModelingToolkit

A modeling framework for automatically parallelized scientific machine learning (SciML) in Julia. A computer algebra system for integrated symbolics for physics-informed machine learning and automated transformations of differential equations

17

DiffEqFlux

Universal neural differential equations with O(1) backprop, GPUs, and stiff+non-stiff DE solvers, demonstrating scientific machine learning (SciML) and physics-informed machine learning methods

18

OhMyREPL

Syntax highlighting and other enhancements for the Julia REPL

19

Images

An image library for Julia

20

ScikitLearn

Julia implementation of the scikit-learn API https://cstjean.github.io/ScikitLearn.jl/dev/

21

DataStructures

Julia implementation of Data structures

22

Interact

Interactive widgets to play with your Julia code

23

Oceananigans

🌊 Fast and friendly fluid dynamics on CPUs and GPUs

24

CUDAnative

Julia support for native CUDA programming

25

Documenter

A documentation generator for Julia.

26

QuantEcon

Julia implementation of QuantEcon routines

27

DrWatson

The perfect sidekick to your scientific inquiries

28

POMDPs

MDPs and POMDPs in Julia - An interface for defining, solving, and simulating fully and partially observable Markov decision processes on discrete and continuous spaces.

29

PkgTemplates

Create new Julia packages, the easy way

30

Escher

Composable Web UIs in Julia