376 Open source projects that are alternatives of or similar to Solar-Rad-Forecasting

A collection of UNet and hybrid architectures in PyTorch for 2D and 3D Biomedical Image segmentation

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No description or website provided.

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Using deep stacked residual bidirectional LSTM cells (RNN) with TensorFlow, we do Human Activity Recognition (HAR). Classifying the type of movement amongst 6 categories or 18 categories on 2 different datasets.

Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier

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Recurrent Neural Network and Long Short Term Memory (LSTM) with Connectionist Temporal Classification implemented in Theano. Includes a Toy training example.

<머신러닝 교과서 with 파이썬, 사이킷런, 텐서플로>의 코드 저장소

All data sets required for the examples and exercises in the book "Forecasting: principles and practice" (3rd ed, 2020) by Rob J Hyndman and George Athanasopoulos <http://OTexts.org/fpp3/>. All packages required to run the examples are also loaded.

Tensorflow Implementation of Densely Connected Bidirectional LSTM with Applications to Sentence Classification

Reasoning Over Knowledge Graph Paths for Recommendation

The origin of the Non-IID phenomenon is the personalization of users, who generate the Non-IID data. With Non-IID (Not Independent and Identically Distributed) issues existing in the federated learning setting, a myriad of approaches has been proposed to crack this hard nut. In contrast, the personalized federated learning may take the advantage…

Dual-Stage Attention-Based Recurrent Neural Net for Time Series Prediction

分别使用rnn/cnn/rcnn来实现根据患者描述，进行疾病诊断

Haste: a fast, simple, and open RNN library

The Electricity Transformer dataset is collected to support the further investigation on the long sequence forecasting problem.

This is my graduation project in BIT. Title: Noise Reduction Using GRU.

Hierarchical Attention Networks for Chinese Sentiment Classification

Deep Learning

Modeltime unlocks time series forecast models and machine learning in one framework

RNN(Recurrent Nerural network) model which recognize hand-gestures drawing 5 figures.

iSeeBetter: Spatio-Temporal Video Super Resolution using Recurrent-Generative Back-Projection Networks | Python3 | PyTorch | GANs | CNNs | ResNets | RNNs | Published in Springer Journal of Computational Visual Media, September 2020, Tsinghua University Press

Real-time ADLs and Fall Detection implement TensorFlow

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End-to-end Automatic Speech Recognition for Madarian and English in Tensorflow

Tensorflow RNN Tutorial

Introduction to time series preprocessing and forecasting in Python using AR, MA, ARMA, ARIMA, SARIMA and Prophet model with forecast evaluation.

Recurrent Neural Networks (RNN, GRU, LSTM) and their Bidirectional versions (BiRNN, BiGRU, BiLSTM) for word & character level language modelling in Theano

TensorFlow implemenation of GRu4Rec model

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This Python function dm_test implements the Diebold-Mariano Test (1995) to statistically test forecast accuracy equivalence for 2 sets of predictions with modification suggested by Harvey et. al (1997).

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Package towards building Explainable Forecasting and Nowcasting Models with State-of-the-art Deep Neural Networks and Dynamic Factor Model on Time Series data sets with single line of code. Also, provides utilify facility for time-series signal similarities matching, and removing noise from timeseries signals.

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The Official Deep Learning Framework for Route-based Place Recognition