WeatherInterpolation VS telemanom

Compare WeatherInterpolation vs telemanom and see what are their differences.

WeatherInterpolation

Simulating Sensor Error & Interpolating Gaps with Deep Learning (by franticOreo)

telemanom

A framework for using LSTMs to detect anomalies in multivariate time series data. Includes spacecraft anomaly data and experiments from the Mars Science Laboratory and SMAP missions. (by khundman)
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WeatherInterpolation telemanom
1 14
0 950
- -
0.0 0.0
over 2 years ago over 1 year ago
Jupyter Notebook Jupyter Notebook
- GNU General Public License v3.0 or later
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

WeatherInterpolation

Posts with mentions or reviews of WeatherInterpolation. We have used some of these posts to build our list of alternatives and similar projects.

telemanom

Posts with mentions or reviews of telemanom. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing WeatherInterpolation and telemanom you can also consider the following projects:

PConv-Keras - Unofficial implementation of "Image Inpainting for Irregular Holes Using Partial Convolutions". Try at: www.fixmyphoto.ai

LSTM-Human-Activity-Recognition - 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

stock-prediction-deep-neural-learning - Predicting stock prices using a TensorFlow LSTM (long short-term memory) neural network for times series forecasting

TSAI-DeepNLP-END2.0

TensorFlow2.0_Notebooks - Implementation of a series of Neural Network architectures in TensorFow 2.0

CodeSearchNet - Datasets, tools, and benchmarks for representation learning of code.

tsai - Time series Timeseries Deep Learning Machine Learning Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai

Twitter-sentiment-analysis - A sentiment analysis model trained with Kaggle GPU on 1.6M examples, used to make inferences on 220k tweets about Messi and draw insights from their results.