pytorch-seq2seq VS sequitur

Compare pytorch-seq2seq vs sequitur and see what are their differences.

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pytorch-seq2seq sequitur
3 3
5,169 402
- -
5.4 4.5
3 months ago 2 months ago
Jupyter Notebook Python
MIT License 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.

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.

sequitur

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

What are some alternatives?

When comparing pytorch-seq2seq and sequitur you can also consider the following projects:

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

ALAE - [CVPR2020] Adversarial Latent Autoencoders

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

OOK_Audio - De Bruijn Sequence WAV File Generator for the HackRF

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

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

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!

Deep-Learning-Papers-Reading-Roadmap - Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

RASP - An interpreter for RASP as described in the ICML 2021 paper "Thinking Like Transformers"

pytorch-sentiment-analysis - Tutorials on getting started with PyTorch and TorchText for sentiment analysis.