Dr. Christian Klukas's repositories

fastai

The fast.ai deep learning library, lessons, and tutorials (cloned from fastai, with small changes to improve windows compatibility)

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todo

A simple ToDo app for the Terminal (Linux, Mac, Windows)

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fastai_docs

fork of official fastai docs, added PDF generation script. See pdf folder: https://github.com/cklukas/fastai_docs/tree/master/pdf

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C--

simple C++ programs for the command line

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dvc-http

HTTP plugin for dvc

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EEDS-keras

End-to-End Image Super-Resolution via Deep and Shallow Convolutional Networks

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EfficientNet-PyTorch

A PyTorch implementation of EfficientNet

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fastai_v1

Initial dev of v1 of fastai

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go-smb2

SMB2/3 client library written in Go.

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N-Channeled-Input-UNet-Fastai

This Repository contains a modified version of unet_learner function from fastai library which you can use to define a unet with more/less number of channels than 3 (Default in all ResNet like networks)

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Practical-Deep-Learning-for-Coders-2.0

Notebooks for the "A walk with fastai2" Study Group and Lecture Series

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pytorch-image-models

PyTorch image models, scripts, pretrained weights -- (SE)ResNet/ResNeXT, DPN, EfficientNet, MixNet, MobileNet-V3/V2/V1, MNASNet, Single-Path NAS, FBNet, and more

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split-folders

đź—‚ Split folders with files (e.g. images) into training, validation and test (dataset) folders.

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tensorflow

Computation using data flow graphs for scalable machine learning

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text-embedding

calculate and save embeddings for text files (txt,md,java,pas,c,cc,go) in a directory and subdirectories

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training-data-analyst

Labs and demos for courses for GCP Training (http://cloud.google.com/training).

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tview

Terminal UI library with rich, interactive widgets — written in Golang

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tvision

A modern port of Turbo Vision 2.0, the classical framework for text-based user interfaces. Now cross-platform and with Unicode support.

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