Justus Schock (@justusschock)
github

justusschock

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  • Stars
    star
    690
  • Global Rank 43,230 (Top 2 %)
  • Followers 230
  • Following 29
  • Registered over 9 years ago
  • Most used languages
    Python
         77.3 %
    Dockerfile
         18.2 %
    Lua
         4.5 %
  • Location 🇩🇪 Germany
  • Country Total Rank 2,276
  • Country Ranking
    Dockerfile
         458
    Python
         510
    Lua
         707

Top repositories

1

shapenet

PyTorch implementation of "Super-Realtime Facial Landmark Detection and Shape Fitting by Deep Regression of Shape Model Parameters" predicting facial landmarks with up to 400 FPS
Python
340
star
2

deep_alignment_network_pytorch

PyTorch Implementation of the Deep Alignment Network
Python
38
star
3

dl-utils

Utilities for Deep Learning with PyTorch (models, losses, metrics etc.)
Python
13
star
4

shape-constrained-network

This repository contains my implementation of a shape-constrained network which predicts up to 170 FPS
Python
12
star
5

detr_lightning

Python
9
star
6

shapedata

library to modify images and the corresponding landmarks
Python
6
star
7

dotfiles

Lua
4
star
8

delira-unet-baseline

A baseline repository to train a unet with delira
Python
4
star
9

OAI-Knee-Segmentation

Under Construction
4
star
10

docker-cuda-conda-python

Python
3
star
11

medical-shape

Python
3
star
12

pytorch-misc

Some miscellaneous PyTorch stuff
Python
3
star
13

dockers

Dockerfile
2
star
14

template_v2

Dockerfile
2
star
15

lightning_dev_docker

Dockerfiles to development lightning on cuda and docker
Dockerfile
2
star
16

vision_training

Train Scripts for the vision package
Python
2
star
17

torch_layers

Custom PyTorch layers to add useful features
Python
2
star
18

blogpost_examples

Python
1
star
19

delira_cycle_gan_pytorch

A delira-compatible cycle-GAN skeleton.
Python
1
star
20

docker-lightning

Python
1
star
21

docker-pytorch

Python
1
star
22

docker-conda-python

Dockerfile
1
star
23

medical-data

Helpful utilities for deep learning in medical image analysis/medical image computing
Python
1
star