8020 Open source projects that are alternatives of or similar to Pytorch Seq2seq

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

A tutorial on how to implement models for part-of-speech tagging using PyTorch and TorchText.

My Attempt(s) In The World Of ML/DL....

ConvLSTM/ConvGRU (Encoder-Decoder) with PyTorch on Moving-MNIST

Pytorch implementation of "Attention-Based Recurrent Neural Network Models for Joint Intent Detection and Slot Filling" (https://arxiv.org/abs/1609.01454)

中文聊天机器人，基于10万组对白训练而成，采用注意力机制，对一般问题都会生成一个有意义的答复。已上传模型，可直接运行，跑不起来直播吃键盘。

Sequence-to-sequence framework with a focus on Neural Machine Translation based on Apache MXNet

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An implementation of attention-based neural machine translation using Pytorch

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RNN(SimpleRNN, LSTM, GRU) Tensorflow2.0 & Keras Notebooks (Workshop materials)

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Implementation of a seq2seq model for Speech Recognition using the latest version of TensorFlow. Architecture similar to Listen, Attend and Spell.

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PyTorch tutorial for learners

Multiple implementations for abstractive text summurization , using google colab

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基於關聯式新聞提取方法之雙階段注意力機制模型用於股票預測

Gathers machine learning and Tensorflow deep learning models for NLP problems, 1.13 < Tensorflow < 2.0

Implementation of a seq2seq model for summarization of textual data. Demonstrated on amazon reviews, github issues and news articles.

Tutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision.

Image captioning using attention models

This repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.

Keras tutorial for beginners (using TF backend)

A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.

End-to-end ASR/LM implementation with PyTorch

Simple implementations of NLP models. Tutorials are written in Chinese on my website https://mofanpy.com

Load forcasting on Delhi area electric power load using ARIMA, RNN, LSTM and GRU models

Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BERT.

Sequence to sequence learning using TensorFlow.

Tutorial for video classification/ action recognition using 3D CNN/ CNN+RNN on UCF101

Chinese Poetry Generation

We pit Keras and PyTorch against each other, showing their strengths and weaknesses in action. We present a real problem, a matter of life-and-death: distinguishing Aliens from Predators!

Sorting numbers with pointer networks

Implementation of RNN for Time Series prediction from the paper https://arxiv.org/abs/1704.02971

A cute multi-layer LSTM that can perform like a human 🎶

A small, interpretable codebase containing the re-implementation of a few "deep" NLP models in PyTorch. Colab notebooks to run with GPUs. Models: word2vec, CNNs, transformer, gpt.

a series of tutorials on sequence to sequence learning, implemented with PyTorch.

Bitcoin price Prediction ( Time Series ) using LSTM Recurrent neural network

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Application of machine learning to the Coinbase (GDAX) orderbook

An extension on the Hierachical Recurrent Encoder-Decoder for Generative Context-Aware Query Suggestion, our implementation is in Tensorflow and uses an attention mechanism.

An implementation of RNNsearch using TensorFlow

Hierarchical Attention Networks for Chinese Sentiment Classification

A community run, 5-day PyTorch Deep Learning Bootcamp

Implementation of the paper - Generative Recurrent Networks for De Novo Drug Design.

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An open-source neural machine translation system developed by Natural Language Processing Group, Nanjing University.

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implementing "recurrent attentive neural processes" to forecast power usage (w. LSTM baseline, MCDropout)

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All my experiments with AI and ML