Keras implementation of Word-Level Recurrent Neural Network Language Model
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Updated
Jan 18, 2020 - Python
Keras implementation of Word-Level Recurrent Neural Network Language Model
Tensorflow implementation of Faster R-CNN
"Densely Connected Convolutional Networks" by Gao Huang, Zhuang Liu, Laurens van der Maaten and Kilian Q. Weinberger.
"Deep Residual Learning for Image Recognition" by Kaiming He, Xiangyu Zhang, Shaoqing Ren and Jian Sun
Keras implementation of Continuous Bag-of-Words Word2Vec
"SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size" by Forrest N. Iandola, Song Han, Matthew W. Moskewicz, Khalid Ashraf, William J. Dally and Kurt Keutzer.
Keras implementation of Skip-gram Word2Vec
A decoder-only transformer-based script generator that writes new episode scripts for The Office (US)
Reverse Image Search it is...
Keras implementation of Character-Level Recurrent Neural Network Language Model
An unofficial implementation of the Pure Dilated Residual U-Net architecture.
"U-Net: Convolutional Networks for Biomedical Image Segmentation" by Olaf Ronneberger, Philipp Fischer and Thomas Brox
Tensorflow implementation of Very Deep Convolutional Networks for Large-Scale Image Recognition.
"Going Deeper with Convolutions" by Christian Szegedy, Wei Liu, Yangqing Jia, Pierre Sermanet, Scott Reed, Dragomir Anguelov, Dumitru Erhan, Vincent Vanhoucke and Andrew Rabinovich.
"Very Deep Convolutional Networks for Large-Scale Image Recognition" by Karen Simonyan and Andrew Zisserman.
PyTorch Detailed implementation of famous backbone feature extractor CNNs
"Gradient Based Learning Applied to Document Recognition" by Yann LeCun, Léon Bottou, Yoshua Bengio and Patrick Haffner.
Simple implementation of UNet architecture in PyTorch
Test implementation for an protocol for machine-readable cache policies for OGC and ISO geoservices
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