Transformer-Models-from-Scratch VS pytorch-seq2seq

Compare Transformer-Models-from-Scratch vs pytorch-seq2seq and see what are their differences.

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Transformer-Models-from-Scratch pytorch-seq2seq
1 3
58 5,138
- -
0.0 5.4
almost 2 years ago 3 months ago
Jupyter Notebook Jupyter Notebook
- MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

Transformer-Models-from-Scratch

Posts with mentions or reviews of Transformer-Models-from-Scratch. We have used some of these posts to build our list of alternatives and similar projects.

pytorch-seq2seq

Posts with mentions or reviews of pytorch-seq2seq. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-10-29.

What are some alternatives?

When comparing Transformer-Models-from-Scratch and pytorch-seq2seq you can also consider the following projects:

OpenNMT-py - Open Source Neural Machine Translation and (Large) Language Models in PyTorch

Time-Series-Forecasting-Using-LSTM - Time-Series Forecasting on Stock Prices using LSTM

ganbert-pytorch - Enhancing the BERT training with Semi-supervised Generative Adversarial Networks in Pytorch/HuggingFace

tensor2tensor - Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

emotion-classifier - An attention-based BiLSTM for emotion classification.

poolformer - PoolFormer: MetaFormer Is Actually What You Need for Vision (CVPR 2022 Oral)

tf-transformers - State of the art faster Transformer with Tensorflow 2.0 ( NLP, Computer Vision, Audio ).

Behavior-Sequence-Transformer-Pytorch - This is a pytorch implementation for the BST model from Alibaba https://arxiv.org/pdf/1905.06874.pdf

ru-dalle - Generate images from texts. In Russian

sequitur - Library of autoencoders for sequential data

awesome-speech-recognition-speech-synthesis-papers - Automatic Speech Recognition (ASR), Speaker Verification, Speech Synthesis, Text-to-Speech (TTS), Language Modelling, Singing Voice Synthesis (SVS), Voice Conversion (VC)

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!