TensorFlow implementation of normalizations such as Layer Normalization, HyperNetworks.
-
Updated
Oct 4, 2016 - Python
TensorFlow implementation of normalizations such as Layer Normalization, HyperNetworks.
Fast-Slow Recurrent Neural Networks
End-to-end Automatic Speech Recognition for Madarian and English in Tensorflow
The implementation of Layer Normalization which follows paper "https://arxiv.org/abs/1607.06450".
The extension of torch.nn.LSTMCell
PyTorch implementation of Neural Turing Machine recurrent neural network
Layer normalization in PyTorch
Time-Sensitive Deep Learning for ICU Outcome Prediction Without Variable Selection or Cleaning.
Program implements a convolutional neural network for classifying images of numbers in the MNIST dataset as either even or odd using GPU framework.
Analysis of different types of common Normalization schemes in Deep Learning
Layer normalization with einops semantics.
End-to-end Automatic Speech Recognition for Madarian and English in Tensorflow
RNNs with layer normalization; Prep package for tensorflow/addons, see v0.8.2, and commit https://github.com/tensorflow/addons/commit/cdb43ffd7e4b89d6ce8cdadcd62fec46c7f0f7fa
The open source code for the paper "Block Attention and Switchable Normalization based Deep Learning Framework for Segmentation of Retinal Vessels"
Code for the paper "On the Expressivity Role of LayerNorm in Transformers' Attention" (Findings of ACL'2023)
BabyGPT: Build Your Own GPT Large Language Model from Scratch Pre-Training Generative Transformer Models: Building GPT from Scratch with a Step-by-Step Guide to Generative AI in PyTorch and Python
Paper to Code automates the incorporation of research paper concepts into practical code using OpenAI's GPT models, bridging theory and implementation.
Add a description, image, and links to the layer-normalization topic page so that developers can more easily learn about it.
To associate your repository with the layer-normalization topic, visit your repo's landing page and select "manage topics."