NLP-With-PyTorch VS D2L_Attention_Mechanisms_in_TF

Compare NLP-With-PyTorch vs D2L_Attention_Mechanisms_in_TF and see what are their differences.

NLP-With-PyTorch

My NLP experiments using PyTorch to solve some common NLP problems with advanced and state of the art deep learning techniques. (by divya-r-kamat)

D2L_Attention_Mechanisms_in_TF

This repository contains Tensorflow 2 code for Attention Mechanisms chapter of Dive into Deep Learning (D2L) book. (by biswajitsahoo1111)
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NLP-With-PyTorch D2L_Attention_Mechanisms_in_TF
1 7
0 12
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0.0 0.0
over 1 year ago over 2 years ago
Jupyter Notebook Jupyter Notebook
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NLP-With-PyTorch

Posts with mentions or reviews of NLP-With-PyTorch. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing NLP-With-PyTorch and D2L_Attention_Mechanisms_in_TF you can also consider the following projects:

chappie.ai - Generalized AI to perform a multitude of tasks written in python3

TokenCut - (CVPR 2022) Pytorch implementation of "Self-supervised transformers for unsupervised object discovery using normalized cut"

pytorch-GAT - My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entropy histograms. I've supported both Cora (transductive) and PPI (inductive) examples!

pytorch-seq2seq - Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

gpt-mini - Yet another minimalistic Tensorflow (re-)re-implementation of Karpathy's Pytorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer).