695 Open source projects that are alternatives of or similar to Pointer Networks Experiments

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.

Google Summer of Code 2017 Project: Development of Speech Recognition Module for Red Hen Lab

Tensorflow implementation of attention mechanism for text classification tasks.

QA - Answer Selection (Rank candidate answers for a given question)

Stock Price Prediction using Machine Learning Techniques

A custom MARL (multi-agent reinforcement learning) environment where multiple agents trade against one another (self-play) in a zero-sum continuous double auction. Ray [RLlib] is used for training.

Design and build a chatbot using data from the Cornell Movie Dialogues corpus, using Keras

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DeFactoNLP: An Automated Fact-checking System that uses Named Entity Recognition, TF-IDF vector comparison and Decomposable Attention models.

This repo contains implementation of different architectures for emotion recognition in conversations.

A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.

enhance seq2seq model for open ended dialog generation

list of efficient attention modules

TensorFlow 1.3 experiment with LSTM (and GRU) RNNs for sine prediction

DeeCamp 2018，AI有嘻哈 自动写歌词

light deep neural network tools box(LSTM,GRU,RNN,CNN,Bi-LSTM,etc)

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A framework for using LSTMs to detect anomalies in multivariate time series data. Includes spacecraft anomaly data and experiments from the Mars Science Laboratory and SMAP missions.

AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP

A PyTorch implementation of the Transformer model in "Attention is All You Need".

Classify Kaggle San Francisco Crime Description into 39 classes. Build the model with CNN, RNN (GRU and LSTM) and Word Embeddings on Tensorflow.

Efficient and easy to use transliteration for Indian languages

Question answering system developed using seq2seq and memory network model in Keras

A PyTorch implementation of Speech Transformer, an End-to-End ASR with Transformer network on Mandarin Chinese.

A simple, minimal wrapper for tensorflow's seq2seq module, for experimenting with datasets rapidly

Play couplet with seq2seq model. 用深度学习对对联。

Minimal Seq2Seq model with Attention for Neural Machine Translation in PyTorch

The Official Deep Learning Framework for Route-based Place Recognition

TensorFlow implementation of multi-layer recurrent neural networks for training and sampling from texts

An implementation of (Induced) Set Attention Block, from the Set Transformers paper

An implementation of Performer, a linear attention-based transformer, in Pytorch

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

Delightful npm packages that make you say "wow, didn't know that was possible!"

Hierarchical Attention Networks for Document Classification in PyTorch

A Benchmark of Text Classification in PyTorch

Another attempt to use Deep-Learning in the financial markets

Sentiment Analysis with LSTMs in Tensorflow

Named Entity Recognition using multilayered bidirectional LSTM

Tensorflow seq2seq Implementation of Text Summarization.

subLSTMs for pytorch from Cortical microcircuits as gated-recurrent neural networks

使用深度学习算法实现的中文问答系统

Residual Attention Network for Image Classification

Sequence to sequence learning with MXNET

A Keras Implementation of Attention_based Siamese Manhattan LSTM

keras를 이용한 딥러닝 기초 학습

Implementation of Neural Image Captioning model using Keras with Theano backend

Tensorflow implementation of paper: Learning to Diagnose with LSTM Recurrent Neural Networks.

Friendly machine learning for the web! 🤖

Self-contained Machine Learning and Natural Language Processing library in Go

Sequence-to-Sequence learning using PyTorch

A bidirectional recurrent neural network model with attention mechanism for restoring missing punctuation in unsegmented text

PyTorch implementation of some attentions for Deep Learning Researchers.

A Tensorflow model for text recognition (CNN + seq2seq with visual attention) available as a Python package and compatible with Google Cloud ML Engine.

Codebase for the paper LSTM Fully Convolutional Networks for Time Series Classification

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Use tensorflow to achieve some NLP project, eg: classification chatbot ner attention QAetc.

DanceNet -💃💃Dance generator using Autoencoder, LSTM and Mixture Density Network. (Keras)