608 Open source projects that are alternatives of or similar to Mxnet Seq2seq

C++ project to implement MTCNN, a perfect face detect algorithm, on different DL frameworks. The most popular frameworks: caffe/mxnet/tensorflow, are all suppported now

Reusable CNN and RNN model doing time series binary classification

Data augmentation for NLP, presented at EMNLP 2019

Video short title classification.

Computer-generated poetry

Enhanced BiLSTM Inference Model for Natural Language Inference

Code for the paper STN-OCR: A single Neural Network for Text Detection and Text Recognition

A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.

Implementation of FontRNN [Computer Graphics Forum, 2019].

Translating English sentences to Marathi using Neural Machine Translation

The Official Deep Learning Framework for Route-based Place Recognition

A seq2seq with attention dialogue/MT model implemented by TensorFlow.

Basic Seq2Seq, Attention, CopyNet

Independently Recurrent Neural Networks (IndRNN) implemented in pytorch.

sliced-rnn

crnn in mxnet.can train with chinese characters

Implementation of music genre classification, audio-to-vec, song recommender, and music search in mxnet

This is a project implementing Computer Vision and Deep Learning concepts to detect drowsiness of a driver and sound an alarm if drowsy.

京东JData算法大赛-高潜用户购买意向预测

Sanskrit compound segmentation using seq2seq model

PyTorch implementation of a 2D-LSTM Seq2Seq Model for NMT.

AI Exercise Rep Counter based on Google's Human Pose Estimation Library (Posenet)

TensorFlow Basic Tutorial Labs

Char RNN Language Model based on Tensorflow

Assessing Source Code Semantic Similarity with Unsupervised Learning

Hands-on in-person workshop for Deep Learning with TensorFlow

使用Theano实现的一些RNN代码，包括最基本的RNN，LSTM，以及部分Attention模型，如论文MLSTM等

Open-Source Toolkit for End-to-End Korean Automatic Speech Recognition leveraging PyTorch and Hydra.

Official PyTorch implementation of Time-aware Large Kernel (TaLK) Convolutions (ICML 2020)

Human activity recognition using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six categories (WALKING, WALKING_UPSTAIRS, WALKING_DOWNSTAIRS, SITTING, STANDING, LAYING).

🔡 Token level embeddings from BERT model on mxnet and gluonnlp

fairseq: Convolutional Sequence to Sequence Learning (Gehring et al. 2017) by Chainer

PyTorch implementation of Convolutional Recurrent Neural Network

No description or website provided.

Signal forecasting with a Sequence-to-Sequence (seq2seq) Recurrent Neural Network (RNN) model in TensorFlow - Guillaume Chevalier

My solutions to the projects assigned for the Udacity Computer Vision Nanodegree

Lightweight C++11 library for building deep recurrent neural networks

A package to structure Australian addresses

Minimalist NMT for educational purposes

The simplest machine learning library for launching UIs, running evaluations, and comparing model performance.

rnn trained on r/totallynotrobots 🤖

Generating image captions using Xception Network and Beam Search in Keras

Reproduce SSH (Single Stage Headless Face Detector) with MXNet

Simple, efficient and flexible vision toolbox for mxnet framework.

Tutorial: Multi-layer Recurrent Neural Networks (LSTM, RNN) for text models in Python using TensorFlow.

Tensorflow tutorial from basic to hard, 莫烦Python 中文AI教学

MXNet Implementation of DCGAN, Conditional GAN, pix2pix

Classify signal using Deep Learning on Tensorflow and various machine learning models.

A Lightweight and Efficient Method for Face Age and Gender Estimation Implemented in MXNet

Chatbot in 200 lines of code using TensorLayer

This is a Human Attributes Detection program with facial features extraction. It detects facial coordinates using FaceNet model and uses MXNet facial attribute extraction model for extracting 40 types of facial attributes. This solution also detects Emotion, Age and Gender along with facial attributes.

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.

A tensorflow implementation of Fairseq Convolutional Sequence to Sequence Learning(Gehring et al. 2017)

自然语言处理常见任务（主要包括文本分类，序列标注，自动问答等）解决方案试验田

A simple open domain generative based chatbot based on Recurrent Neural Networks

Pointer-generator reinforced seq2seq summarization in PyTorch

seq2seq based keyphrase generation model sets, including copyrnn copycnn and copytransfomer

Auto Segmentation Criterion (ASG) implemented in pytorch