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Updated
Oct 12, 2021 - Python
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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.
cvpr2021/cvpr2020/cvpr2019/cvpr2018/cvpr2017 论文/代码/解读/直播合集,极市团队整理
Experience, Learn and Code the latest breakthrough innovations with Microsoft AI
Label Studio is a multi-type data labeling and annotation tool with standardized output format
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Impact - The user's account can be directly logged if the token is grabbed by the attacker by the tool named Wireshark.
**I want to
Curated list of Machine Learning, NLP, Vision, Recommender Systems Project Ideas
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".
There are many links in Kinetics that have expired. As as result, everyone might not be using the same Kinetics dataset. As a reference, the statistics of the Kinetics dataset used in PySlowFast can be found here, https://github.com/facebookresearch/video-nonlocal-net/blob/master/DATASET.md. However, I cannot seem to find similar information for gluoncv. Will you guys be sharing the statistics and
An absolute beginner's guide to Machine Learning and Image Classification with Neural Networks
When running TabularPredictor.fit(), I encounter a BrokenPipeError for some reason.
What is causing this?
Could it be due to OOM error?
Fitting model: XGBoost ...
-34.1179 = Validation root_mean_squared_error score
10.58s = Training runtime
0.03s = Validation runtime
Fitting model: NeuralNetMXNet ...
-34.2849 = Validation root_mean_squared_error score
43.63s =
Differentiable architecture search for convolutional and recurrent networks
A library for transfer learning by reusing parts of TensorFlow models.
Accelerated deep learning R&D
Sandbox for training deep learning networks
A treasure chest for visual recognition powered by PaddlePaddle
Deep Learning API and Server in C++14 support for Caffe, Caffe2, PyTorch,TensorRT, Dlib, NCNN, Tensorflow, XGBoost and TSNE
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, WideResNet)
Nudity detection with JavaScript and HTMLCanvas
A curated list of deep learning image classification papers and codes
Implementation of EfficientNet model. Keras and TensorFlow Keras.
ICCV2021/2019/2017 论文/代码/解读/直播合集,极市团队整理
Labelbox is the fastest way to annotate data to build and ship computer vision applications.
with video_demo.py about 20% speed compared to your 1.0 repo. but thanks much for sharing!
A (PyTorch) imbalanced dataset sampler for oversampling low frequent classes and undersampling high frequent ones.
Official Implementation of 'Fast AutoAugment' in PyTorch.
Use of Attention Gates in a Convolutional Neural Network / Medical Image Classification and Segmentation
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Enhancement
A discussion in #614 revealed a good place for improvement - we should ensure that input image is continuous upon start of the augmentation pipeline. This could be implemented by adding
image = np.ascontiguousarray(image)to image and mask targets.A proposed place to add this call - somewhere at the beginning of
A.Compose.__call__.