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

document classification using LSTM + self attention

GANs for time series generation in pytorch

1st place solution

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

数据科学竞赛知识、代码、思路

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This project seeks to utilize Deep Learning models, Long-Short Term Memory (LSTM) Neural Network algorithm, to predict stock prices.

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Neural network models for joint POS tagging and dependency parsing (CoNLL 2017-2018)

PyTorch implementation of Full Resolution Image Compression with Recurrent Neural Networks

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Anomaly detection for temporal data using LSTMs

A simple machine learning framework written in Swift 🤖

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Implementation of Siamese Neural Networks built upon multihead attention mechanism for text semantic similarity task.

WaveNet vocoder

Estudo e implementação dos principais algoritmos de Machine Learning em Jupyter Notebooks.

semantic analysis using word2vector, doc2vector,lstm and other method. mainly for text similarity analysis.

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State of the Art Natural Language Processing

Deep Learning based Automatic Speech Recognition with attention for the Nvidia Jetson.

TensorFlow implementation of Conversation Models

基于seq2seq模型的简单对话系统的tf实现，具有embedding、attention、beam_search等功能，数据集是Cornell Movie Dialogs

Keras implementation of Legendre Memory Units

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[DEPRECATED] A Neural Network based generative model for captioning images using Tensorflow

top 1% solution to toxic comment classification challenge on Kaggle.

텐서플로우와 머신러닝으로 시작하는 자연어처리(로지스틱회귀부터 트랜스포머 챗봇까지)

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

Pytorch Code for "Medical Transformer: Gated Axial-Attention for Medical Image Segmentation"

A Collection of resources I have found useful on my journey finding my way through the world of Deep Learning.

Solution to the Outbrain Click Prediction competition

Neural word segmentation with rich pretraining, code for ACL 2017 paper

Collection of stats, modeling, and data science tools in Python and R.

Sentiment analysis on Amazon Review Dataset available at http://snap.stanford.edu/data/web-Amazon.html

IPython widgets, interactive plots, interactive machine learning

Explore Action Recognition

Open solution to the Data Science Bowl 2018

Predict Race and Ethnicity Based on the Sequence of Characters in a Name

A bidirectional LSTM with attention for multiclass/multilabel text classification.

Kashgari is a production-level NLP Transfer learning framework built on top of tf.keras for text-labeling and text-classification, includes Word2Vec, BERT, and GPT2 Language Embedding.

attention-based LSTM/Dense implemented by Keras

R package for automation of machine learning, forecasting, feature engineering, model evaluation, model interpretation, data generation, and recommenders.

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iPython notebook and Android app that shows how to build LSTM model in TensorFlow and deploy it on Android

Deep-Learning based CTR models implemented by PyTorch

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This is a comprehensive ML techniques with python: Define the Problem- Specify Inputs & Outputs- Data Collection- Exploratory data analysis -Data Preprocessing- Model Design- Training- Evaluation

Speedy Wavenet generation using dynamic programming ⚡

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NCRF++, a Neural Sequence Labeling Toolkit. Easy use to any sequence labeling tasks (e.g. NER, POS, Segmentation). It includes character LSTM/CNN, word LSTM/CNN and softmax/CRF components.

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Speech emotion recognition implemented in Keras (LSTM, CNN, SVM, MLP) | 语音情感识别

An IPython Notebook tutorial on deep learning for natural language processing, including structure prediction.

Speaker independent emotion recognition

Powerful modern math library for PHP: Features descriptive statistics and regressions; Continuous and discrete probability distributions; Linear algebra with matrices and vectors, Numerical analysis; special mathematical functions; Algebra