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As many google colab files as possible

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Note that local runtimes can be used as well (https://research.google.com/colaboratory/local-runtimes.html)

Education/Tutorials:
Pytorch - https://pytorch.org/tutorials/beginner/deep_learning_60min_blitz.html
Open CV:
    https://github.com/akshaychandra21/OpenCV_Basic_Exercises
    Examples From Open CV book by Adrian Rosebrock
Introduction to Machine Learning ETH - https://las.inf.ethz.ch/teaching/introml-s19
    colab:
Python Datascience https://github.com/jakevdp/PythonDataScienceHandbook \

  • colabs listed on Github
    PyRender \
    • offscreen rendering colabs: https://pyrender.readthedocs.io/en/latest/examples/offscreen.html \

Keras/Tensorflow:\

  • https://github.com/tensorflow/examples
  • Classification: https://github.com/tensorflow/examples/blob/master/community/en/flowers_tf_lite.ipynb
  • Object detection: https://drive.google.com/file/d/16QQtlCa4-p4zqxuhJ0U-vOAT5dU0txJV/view

Collections: https://github.com/zszazi/awesome-collection-of-google-colab-notebooks
https://github.com/tugstugi/dl-colab-notebooks
https://github.com/theamrzaki/text_summurization_abstractive_methods
https://github.com/paulgureghian/PyTorch_Projects \

Sources:
https://github.com/ContinualAI/colab
https://research.google.com/seedbank/
https://github.com/RomRoc/objdet_train_tensorflow_colab
https://github.com/cesare-montresor/fastai-colab
https://github.com/ajit2704/Reinforcement-Learning-on-google-colab
https://github.com/litcoderr/DeepIsolation
https://github.com/navidyou/Mask-RCNN-implementation-for-cell-nucleus-detection-executable-on-google-colab-
https://github.com/vbosstech/machine-learning-by-examples
https://github.com/KAIST-AILab/deeprl_practice_colab
https://magenta.tensorflow.org/demos/colab/
https://github.com/JonathanLehner/ (ourselves)
We just copy the most relevant repos from there.

Mask RCNN:
https://github.com/matterport/Mask_RCNN
Train ballon
    - colab:
Train shapes
    - colab:
Train GrabIGo shelf from via (http://www.robots.ox.ac.uk/~vgg/software/via/via-1.0.6.html)
    - colab:
Train GrabIGo shelf from COCO/with background subtraction
    - colab:
Visalize balloon
    - colab:
Visalize shapes
    - colab:
Count GrabIGo shelf from COCO/with background subtraction
    - colab: \

Mask RCNN Human Pose:
https://github.com/callmevishu/MaskRCNN_HumanPose_Estimation
    - colab: \

Human Parsing/Image segmentation:
https://github.com/HCPLab-SYSU/ATEN
https://github.com/Engineering-Course/CIHP_PGN \ https://github.com/Engineering-Course/LIP_SSL
https://github.com/Engineering-Course/LIP_JPPNet
https://github.com/bonlime/keras-deeplab-v3-plus
https://github.com/Gaoyiminggithub/Graphonomy \

Yolo:
https://github.com/pavisj/YoloV3_video_colab
https://github.com/ivangrov/YOLOv3-GoogleColab \

Hand pose estimation:
MANO - generating hand meshes
https://github.com/hassony2/manopth
    - colab: https://colab.research.google.com/drive/1qdQrguWa0tYhtfgEo1G3-Mf7X7hvi8s8
3D Hand post estimation - Reimplementation of ~"3D hand pose estimation in the wild" https://gitlab.inf.ethz.ch/OU-HILLIGES/wearable3dhandreconstruction/
    - colab: \