1113 Open source projects that are alternatives of or similar to Deep Time Series Prediction

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

Machine learning, in numpy

Sorting numbers with pointer networks

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。

Attention-based multimodal fusion for sentiment analysis

Fiction generator with Tensorflow. 模仿王小波的风格的小说生成器

Deep-learning models of NTUA-SLP team submitted in SemEval 2018 tasks 1, 2 and 3.

Remaining Useful Life (RUL) estimation of Lithium-ion batteries using deep LSTMs

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

CRNN with attention to do OCR,add Chinese recognition

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

nlp lecture-notes and source code

一个基于深度学习的中文聊天机器人，这里有详细的教程与代码，每份代码都有详细的注释，作为学习是美好的选择。A Chinese chatbot based on deep learning.

Applying Common-Sense Reasoning to Multi-Modal Dense Video Captioning and Video Question Answering | Python3 | PyTorch | CNNs | Causality | Reasoning | LSTMs | Transformers | Multi-Head Self Attention | Published in IEEE Winter Conference on Applications of Computer Vision (WACV) 2021

multi-label，classifier，text classification，多标签文本分类，文本分类，BERT，ALBERT，multi-label-classification，seq2seq，attention，beam search

ttslearn: Library for Pythonで学ぶ音声合成 (Text-to-speech with Python)

A Keras library for multi-step time-series forecasting.

5th place solution for Kaggle competition Favorita Grocery Sales Forecasting

Neural network that solves math equations on the character level

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

Voice activity detection (VAD) toolkit including DNN, bDNN, LSTM and ACAM based VAD. We also provide our directly recorded dataset.

Bangla Machine Translator

News summarization using sequence to sequence model with attention in TensorFlow.

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

MLBox is a powerful Automated Machine Learning python library.

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

Enhanced BiLSTM Inference Model for Natural Language Inference

網頁聊天機器人 | tensorflow implementation of seq2seq model with bahdanau attention and Word2Vec pretrained embedding

Word Sense Disambiguation using Word Specific models, All word models and Hierarchical models in Tensorflow

(117th place - Top 26%) Deep learning using Keras and Spark for the "Store Item Demand Forecasting" Kaggle competition.

A PyTorch Implementation of "Attention Is All You Need"

Deep-learning model presented in "DataStories at SemEval-2017 Task 6: Siamese LSTM with Attention for Humorous Text Comparison".

[AAAI 2020] Modeling Personality with Attentive Networks and Contextual Embeddings

seq2seq attention tensorflow textrank context

Chinese Poetry Generation

Image captioning using attention models

An implementation of attention-based neural machine translation using Pytorch

Pointer-generator reinforced seq2seq summarization in PyTorch

Four styles of encoder decoder model by Python, Theano, Keras and Seq2Seq

A collection of time series prediction methods: rnn, seq2seq, cnn, wavenet, transformer, unet, n-beats, gan, kalman-filter

LAMA - automatic model creation framework

🤖 Neural SPARQL Machines for Knowledge Graph Question Answering.

End-to-end ASR/LM implementation with PyTorch

Implementation of papers for text classification task on DBpedia

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

📚 Text classification library with Keras

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

Implementation of State-of-the-art Text Classification Models in Pytorch

Multi-turn dialogue baselines written in PyTorch

CNN, LSTM, NBOW, fasttext 中文文本分类

GANs for time series generation in pytorch

1st place solution

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

document classification using LSTM + self attention

模仿莎士比亚创作戏剧！屌炸天的是还能创作金庸武侠小说！快star，保持更新！！

Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations

A neural network to generate captions for an image using CNN and RNN with BEAM Search.

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