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

Code lab for deep learning. Including rnn,seq2seq,word2vec,cross entropy,bidirectional rnn,convolution operation,pooling operation,InceptionV3,transfer learning.

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

深度学习入门教程, 优秀文章, Deep Learning Tutorial

1st place solution

텐서플로우를 기초부터 응용까지 단계별로 연습할 수 있는 소스 코드를 제공합니다

Chinese Poetry Generation

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

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。

텐서플로2와 머신러닝으로 시작하는 자연어처리 (로지스틱회귀부터 BERT와 GPT3까지) 실습자료

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

Recurrent GAN for imputation of time series data. Implemented in TensorFlow 2 on Wikipedia Web Traffic Forecast dataset from Kaggle.

recaptcha with lstm and mxnet

Sequence to Sequence Models with PyTorch

Natural Language Processing with TensorFlow, published by Packt

Multiple implementations for abstractive text summurization , using google colab

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

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

TensorLy: Tensor Learning in Python.

Sets up a VM with Keras, TensorFlow, TFLearn and Theano installed

🎵 Using Deep Learning to Categorize Music as Time Progresses Through Spectrogram Analysis

Build conversation Seq2Seq models with TensorFlow

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

Train Neuronal networks to automate your home

JG Master Thesis

THEANO-KALDI-RNNs is a project implementing various Recurrent Neural Networks (RNNs) for RNN-HMM speech recognition. The Theano Code is coupled with the Kaldi decoder.

An implementation of RNN-RBM & GBRBM.

MXNET + OpenAI Gym implementation of A3C from "Asynchronous Methods for Deep Reinforcement Learning"

Boilerplate code for quickly getting set up to run language modeling experiments

Deepfakes Video classification via CNN, LSTM, C3D and triplets

Deep Learning neural network for correcting spelling

Top-1 Acc=61.0% on ImageNet, without any sacrificing compared with SqueezeNet v1.1.

All about Neural Networks!

Data augmentation for NLP, presented at EMNLP 2019

The Official Deep Learning Framework for Route-based Place Recognition

京东JData算法大赛-高潜用户购买意向预测

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

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

Long short-term memory recurrent neural networks for learning peptide and protein sequences to later design new, similar examples.

Chatbot in 200 lines of code using TensorLayer

Neural conversational model in Torch

Multi Model Server is a tool for serving neural net models for inference

Real-time ADLs and Fall Detection implement TensorFlow

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

DeeCamp 2018，AI有嘻哈 自动写歌词

Gluon implementation of EfficientNet and EfficientNet-lite

💻 Make machines learn so that you don't have to struggle to program them; The ultimate list

Open source face recognition on Raspberry Pi. SharpAI is open source stack for machine learning engineering with private deployment and AutoML for edge computing. DeepCamera is application of SharpAI designed for connecting computer vision model to surveillance camera. Developers can run same code on Raspberry Pi/Android/PC/AWS to boost your AI production development.

enhance seq2seq model for open ended dialog generation

Tensorflow implementation of attention mechanism for text classification tasks.

Machine Learning University: Accelerated Tabular Data Class

Simulate quantization and quantization aware training for MXNet-Gluon models.

Gluon implementation of "Objects as Points", aka "CenterNet"

RNN based Time-series Anomaly detector model implemented in Pytorch.

Setup and customize deep learning environment in seconds.

Image Retrieval Experiment Using Triplet Loss

Code for Tensorflow Machine Learning Cookbook

Stock Price Prediction using Machine Learning Techniques

A Comprehensive Tutorial on Video Modeling

A collection of computer vision pre-trained models.