lorenzoh/PollenExample.jl

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Julia
License
MIT License
Created over 2 years ago
Updated over 2 years ago

lorenzoh/PollenExample.jl

lorenzoh

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Pollen.jl

Format-independent document generation tool built for interactive work

DataLoaders.jl

A parallel iterator for large machine learning datasets that don't fit into memory inspired by PyTorch's `DataLoader` class.

Invariants.jl

Julia package for creating composable invariants with helpful error messages

PyTorchTraining.jl

Prototype for using PyTorch models in FluxTraining.jl

DLPipelines.jl

Interfaces for deep learning data pipelines.

FeatureRegistries.jl

Registries for package feature for easy discovery.

pollenjl-frontend

The Svelte frontend for Pollen.jl

DLDatasets.jl

Quickly load datasets for deep learning.

FluxModels.jl

Some useful model definitions from recent papers, mostly for computer vision.

PyNNTraining.jl

Use FluxTraining.jl to train neural networks in Python frameworks

sudoku-scanner

A scanner that detects, recognizes and solves sudoku puzzles from real-life pictures using a pipeline of classical Computer Vision algorithms.

InvariantsCore.jl

Core package for Invariants.jl

TestTUI.jl

A little TUI that continuously runs tests for your in-development packages.

dbopendata8

Project from DB OpenData Hackathon 12/16/17

Jupyter Notebook

DeepLearningInJulia

Tutorials for deep learning in Julia

publish-theme

A theme for Publish.jl

fu-enrollments

softwareproject-codingixd

FastTimm.jl

ModelUtils.jl

Utilities for working with Flux models. Initialization, hooks, iteration, visualization and more...

lambda-packager

Uses the amazonlinux Docker image to build Python packages for AWS Lambda

VisionDatasets.jl

Download and load common computer vision datasets for different tasks