:metal: LabelImg is a graphical image annotation tool and label object bounding boxes in images
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Oct 26, 2019 - 343 commits
- Python
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image-classification
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PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation
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Experience, Learn and Code the latest breakthrough innovations with Microsoft AI
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An absolute beginner's guide to Machine Learning and Image Classification with Neural Networks
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Oct 24, 2019 - 90 commits
- Python
d-li14
commented
Sep 24, 2018
Hi, thanks for the great code!
I wonder do you have plans to support resuming from checkpoints for classification? As we all know, in terms of training ImageNet, the training process is really long and it can be interrupted somehow, but I haven't notice any code related to "resume" in scripts/classification/train_imagenet.py.
Maybe @hetong007 ? Thanks in advance.
Curated list of Machine Learning, NLP, Vision, Recommender Systems Project Ideas
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Oct 26, 2019 - 42 commits
M-crazy
commented
Aug 20, 2019
Is this a bug? Multi layer method call error:
Test failed: NameError at line 474: name 'test2' is not defined
Interpretation script:
def test2():
test3()
def test1():
test2()
Differentiable architecture search for convolutional and recurrent networks
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Nudity detection with JavaScript and HTMLCanvas
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Oct 24, 2019 - 21 commits
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beniz
commented
May 16, 2016
This is the placeholder for information regarding the building of deepdetect on Ubuntu 16.04 LTS (expected future reference platform).
Build status: successful, tested with Caffe back-end on CPU
Thanks to @MartinThoma the correct way of doing it is below:
$ sudo apt-get remove libcurlpp0
$ cd [wherever]
$ git clone https://github.com/jpbarrette/curlpp.git
$ cd curlpp
$ cmake .
$ s
yoheikikuta
commented
Aug 3, 2019
Hi.
I wanna understand the embeddings of the USE model in detail; where should I get the info?
For example, ELMo's embeddings are described on https://tfhub.dev/google/elmo/2.
But, in the case of USE, there is only a description the output is a 512 dimensional vector on https://tfhub.dev/google/universal-sentence-encoder/2.
From where is the output coming?
I could find the output is
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shevchenkonik
commented
Aug 23, 2019
Currently, we have a GIF with bad quality and plan to improve the design.
https://github.com/heartexlabs/label-studio/blob/master/images/label-studio-examples.gif
Need to do:
- Each data type should be a separate frame for the next interaction.
- The text should be more flexible and could not turn a Label Studio.
- Generated GIF file for readme of the project.
Labelbox is the fastest way to annotate data to build and ship computer vision applications.
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Oct 25, 2019 - 748 commits
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High level network definitions with pre-trained weights in TensorFlow
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A curated list of deep learning image classification papers and codes
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Sandbox for training convolutional networks for computer vision
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Channel Pruning for Accelerating Very Deep Neural Networks (ICCV'17)
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Use of Attention Gates in a Convolutional Neural Network / Medical Image Classification and Segmentation
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Implementation of EfficientNet model. Keras and TensorFlow Keras.
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Food Classification with Deep Learning in Keras / Tensorflow
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- Jupyter Notebook
A (PyTorch) imbalanced dataset sampler for oversampling low frequent classes and undersampling high frequent ones.
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Oct 26, 2019 - 4 commits
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Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet)
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Oct 24, 2019 - 172 commits
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Official Implementation of 'Fast AutoAugment' in PyTorch.
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Oct 25, 2019 - 32 commits
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Implementation code of the paper: FishNet: A Versatile Backbone for Image, Region, and Pixel Level Prediction, NeurIPS 2018
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PyTorch extensions for fast R&D prototyping and Kaggle farming
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A Guidance on PyTorch Coding Style Based on Kaggle Dogs vs. Cats
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- Python
Related files:
albumentations/augmentations/transforms.py[Depricated]suffix.Related files:
tools/make_transforms_docs.py