layer-normalization
There are 19 repositories under layer-normalization topic.
zzw922cn/Automatic_Speech_Recognition
End-to-end Automatic Speech Recognition for Madarian and English in Tensorflow
pbhatia243/tf-layer-norm
TensorFlow implementation of normalizations such as Layer Normalization, HyperNetworks.
TatevKaren/BabyGPT-Build_GPT_From_Scratch
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
tech-srl/layer_norm_expressivity_role
Code for the paper "On the Expressivity Role of LayerNorm in Transformers' Attention" (Findings of ACL'2023)
CyberZHG/torch-layer-normalization
Layer normalization in PyTorch
exe1023/LSTM_LN
lstm with layer normalization
venusdev85/Speech-Recognition
End-to-end Automatic Speech Recognition for Madarian and English in Tensorflow
jacobdeasy/flexible-ehr
Time-Sensitive Deep Learning for ICU Outcome Prediction Without Variable Selection or Cleaning.
ujjax/fast-slow-lstm
Fast-Slow Recurrent Neural Networks
pedroosodrac/Paper-to-Code
Paper to Code automates the incorporation of research paper concepts into practical code using OpenAI's GPT models, bridging theory and implementation.
chenhuaizhen/LayerNorm_LSTM
The extension of torch.nn.LSTMCell
sabrid369/BFMD-SN-U-net
The open source code for the paper "Block Attention and Switchable Normalization based Deep Learning Framework for Segmentation of Retinal Vessels"
junhsss/einorm
Layer normalization with einops semantics.
kienduynguyen/Layer-Normalization
The implementation of Layer Normalization which follows paper "https://arxiv.org/abs/1607.06450".
HarmanDotpy/Normalizations-in-Deep-Learning
Analysis of different types of common Normalization schemes in Deep Learning
kmedian/keras-layernorm-rnn
RNNs with layer normalization; Prep package for tensorflow/addons, see v0.8.2, and commit https://github.com/tensorflow/addons/commit/cdb43ffd7e4b89d6ce8cdadcd62fec46c7f0f7fa
denizetkar/ntmcell_pytorch
PyTorch implementation of Neural Turing Machine recurrent neural network
chandnii7/Convolutional-Neural-Network
Program implements a convolutional neural network for classifying images of numbers in the MNIST dataset as either even or odd using GPU framework.