-
Updated
Sep 12, 2020 - Python
{{ message }}
PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch:入门与实战》)
Best Practices, code samples, and documentation for Computer Vision.
Experience, Learn and Code the latest breakthrough innovations with Microsoft AI
cvpr2020/cvpr2019/cvpr2018/cvpr2017 papers,极市团队整理
Curated list of Machine Learning, NLP, Vision, Recommender Systems Project Ideas
An absolute beginner's guide to Machine Learning and Image Classification with Neural Networks
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.
I wanted to know if there is any support in the tool where the user can select multiple unique labels and rename it as one label?
What I want is very similar to grouping thing which is available in the tool. But instead of selecting "n" number of labels and grouping them, I wanted to give those "n" number of selected labels a different label name.
Thanks in advance!! Please let me know if th
Label Studio is a multi-type data labeling and annotation tool with standardized output format
Differentiable architecture search for convolutional and recurrent networks
AutoGluon: AutoML Toolkit for Deep Learning
A library for transfer learning by reusing parts of TensorFlow models.
If you try to run experiment in system/docker container where missing git (in system) your code will crush at this line:
https://github.com/catalyst-team/catalyst/blob/master/catalyst/utils/pipelines.py#L4
with message like this:
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/git/__init__.py", line 83, in <module>
refresh()
Deep Learning API and Server in C++11 support for Caffe, Caffe2, PyTorch,TensorRT, Dlib, NCNN, Tensorflow, XGBoost and TSNE
Nudity detection with JavaScript and HTMLCanvas
Sandbox for training convolutional networks for computer vision
Implementation of EfficientNet model. Keras and TensorFlow Keras.
Labelbox is the fastest way to annotate data to build and ship computer vision applications.
A curated list of deep learning image classification papers and codes
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)
with video_demo.py about 20% speed compared to your 1.0 repo. but thanks much for sharing!
Official Implementation of 'Fast AutoAugment' in PyTorch.
Use of Attention Gates in a Convolutional Neural Network / Medical Image Classification and Segmentation
A (PyTorch) imbalanced dataset sampler for oversampling low frequent classes and undersampling high frequent ones.
Channel Pruning for Accelerating Very Deep Neural Networks (ICCV'17)
Official Repsoitory for "Mish: A Self Regularized Non-Monotonic Neural Activation Function" [BMVC 2020]
PyTorch extensions for fast R&D prototyping and Kaggle farming
Implementation of Quickdraw - an online game developed by Google
Add a description, image, and links to the image-classification topic page so that developers can more easily learn about it.
To associate your repository with the image-classification topic, visit your repo's landing page and select "manage topics."
Add Seam Carving transform for images, masks, bounding boxes, landmarks:
https://www.pyimagesearch.com/2017/01/23/seam-carving-with-opencv-python-and-scikit-image/
https://github.com/andrewdcampbell/seam-carving