End-to-end Automatic Speech Recognition for Madarian and English in Tensorflow
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Updated
Mar 24, 2023 - Python
End-to-end Automatic Speech Recognition for Madarian and English in Tensorflow
TensorFlow implementation of normalizations such as Layer Normalization, HyperNetworks.
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
Code for the paper "On the Expressivity Role of LayerNorm in Transformers' Attention" (Findings of ACL'2023)
Layer normalization in PyTorch
End-to-end Automatic Speech Recognition for Madarian and English in Tensorflow
Time-Sensitive Deep Learning for ICU Outcome Prediction Without Variable Selection or Cleaning.
Fast-Slow Recurrent Neural Networks
Paper to Code automates the incorporation of research paper concepts into practical code using OpenAI's GPT models, bridging theory and implementation.
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"
The implementation of Layer Normalization which follows paper "https://arxiv.org/abs/1607.06450".
Layer normalization with einops semantics.
RNNs with layer normalization; Prep package for tensorflow/addons, see v0.8.2, and commit https://github.com/tensorflow/addons/commit/cdb43ffd7e4b89d6ce8cdadcd62fec46c7f0f7fa
Analysis of different types of common Normalization schemes in Deep Learning
Program implements a convolutional neural network for classifying images of numbers in the MNIST dataset as either even or odd using GPU framework.
PyTorch implementation of Neural Turing Machine recurrent neural network
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