The implementation of Layer Normalization which follows paper "https://arxiv.org/abs/1607.06450".
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Updated
Aug 27, 2018 - Python
The implementation of Layer Normalization which follows paper "https://arxiv.org/abs/1607.06450".
RNNs with layer normalization; Prep package for tensorflow/addons, see v0.8.2, and commit https://github.com/tensorflow/addons/commit/cdb43ffd7e4b89d6ce8cdadcd62fec46c7f0f7fa
Program implements a convolutional neural network for classifying images of numbers in the MNIST dataset as either even or odd using GPU framework.
Layer normalization with einops semantics.
PyTorch implementation of Neural Turing Machine recurrent neural network
Paper to Code automates the incorporation of research paper concepts into practical code using OpenAI's GPT models, bridging theory and implementation.
End-to-end Automatic Speech Recognition for Madarian and English in Tensorflow
The extension of torch.nn.LSTMCell
The open source code for the paper "Block Attention and Switchable Normalization based Deep Learning Framework for Segmentation of Retinal Vessels"
Time-Sensitive Deep Learning for ICU Outcome Prediction Without Variable Selection or Cleaning.
Analysis of different types of common Normalization schemes in Deep Learning
Fast-Slow Recurrent Neural Networks
Code for the paper "On the Expressivity Role of LayerNorm in Transformers' Attention" (Findings of ACL'2023)
Layer normalization in PyTorch
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
TensorFlow implementation of normalizations such as Layer Normalization, HyperNetworks.
End-to-end Automatic Speech Recognition for Madarian and English in Tensorflow
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