420 Open source projects that are alternatives of or similar to Trafficflowprediction

🔥🌟《Machine Learning 格物志》: ML + DL + RL basic codes and notes by sklearn, PyTorch, TensorFlow, Keras & the most important, from scratch!💪 This repository is ALL You Need!

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

A neural network that transforms a design mock-up into a static website.

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

attention-based LSTM/Dense implemented by Keras

第三届魔镜杯 智能客服问题相似性算法设计 第12名解决方案

Reasoning Over Knowledge Graph Paths for Recommendation

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.

Speaker independent emotion recognition

Source code of CHAMELEON - A Deep Learning Meta-Architecture for News Recommender Systems

Implementation of "Generating Sequences With Recurrent Neural Networks" https://arxiv.org/abs/1308.0850

Plain Stock Close-Price Prediction via Graves LSTM RNNs

UrbanSound classification using Convolutional Recurrent Networks in PyTorch

e3d-lstm; Eidetic 3D LSTM A Model for Video Prediction and Beyond

TensorFlow Implementation of the paper "End-to-End Relation Extraction using LSTMs on Sequences and Tree Structures" and "Classifying Relations via Long Short Term Memory Networks along Shortest Dependency Paths" for classifying relations

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

Automatic image captioning model based on Caffe, using features from bottom-up attention.

convolutional lstm implementation in pytorch

Music genre classification with LSTM Recurrent Neural Nets in Keras & PyTorch

datagrand 2019 information extraction competition rank9

⚛️ It is keras based implementation of siamese architecture using lstm encoders to compute text similarity

Implementation of Hierarchical Attention Networks in PyTorch

A visualization tool for understanding and debugging RNNs

Pointer Networks Implementation in Keras

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

GANs for time series generation in pytorch

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

The deeplearning algorithms implemented by tensorflow

LSTM and GRU in PyTorch

Chinese Poetry Generation

lidc nodule detection with CNN and LSTM network

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

Models for predicting emotions from English tweets.

PyTorch implementations of LSTM Variants (Dropout + Layer Norm)

Annotation of ECG signals using deep learning, tensorflow’ Keras

Sign Language Gesture Recognition From Video Sequences Using RNN And CNN

Deep-learning model presented in "DataStories at SemEval-2017 Task 4: Deep LSTM with Attention for Message-level and Topic-based Sentiment Analysis".

🤖 Neural SPARQL Machines for Knowledge Graph Question Answering.

Using Machine Learning to predict the type of exercise from movement data

This package contains an OCR engine - libtesseract and a command line program - tesseract. Tesseract 4 adds a new neural net (LSTM) based OCR engine which is focused on line recognition, but also still supports the legacy Tesseract OCR engine of Tesseract 3 which works by recognizing character patterns. Compatibility with Tesseract 3 is enabled by using the Legacy OCR Engine mode (--oem 0). It also needs traineddata files which support the legacy engine, for example those from the tessdata repository.

A Bitcoin trade robot based on Tensorflow LSTM model.Just for fun.

Machine learning, in numpy

All my experiments with AI and ML

Seq2Seq, Bert, Transformer, WaveNet for time series prediction.

Multi dimensional LSTM as described in Alex Graves' Paper https://arxiv.org/pdf/0705.2011.pdf

Rough list of my favorite deep learning resources, useful for revisiting topics or for reference. I have got through all of the content listed there, carefully. - Guillaume Chevalier

A fast LSTM Language Model for large vocabulary language like Japanese and Chinese

TensorFlow template application for deep learning

R, Python and Mathematica Codes in Machine Learning, Deep Learning, Artificial Intelligence, NLP and Geolocation

Natural Language Processing with TensorFlow, published by Packt

Activity Recognition Algorithms for the Charades Dataset

Code for Mimicking Word Embeddings using Subword RNNs (EMNLP 2017)

Stock Market Prediction Web App based on Machine Learning and Sentiment Analysis of Tweets (API keys included in code). The front end of the Web App is based on Flask and Wordpress. The App forecasts stock prices of the next seven days for any given stock under NASDAQ or NSE as input by the user. Predictions are made using three algorithms: ARIMA, LSTM, Linear Regression. The Web App combines the predicted prices of the next seven days with the sentiment analysis of tweets to give recommendation whether the price is going to rise or fall

I used in this project a reccurent neural network to generate c code based on a dataset of c files from the linux repository.

LSTM and QRNN Language Model Toolkit for PyTorch

PyTorch Language Model for 1-Billion Word (LM1B / GBW) Dataset

Time series prediction with Sequential Model and LSTM units

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