LSTM-Human-Activity-Recognition VS telemanom

Compare LSTM-Human-Activity-Recognition vs telemanom and see what are their differences.

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 (by guillaume-chevalier)

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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LSTM-Human-Activity-Recognition telemanom
1 14
3,265 950
- -
0.0 0.0
over 1 year ago over 1 year ago
Jupyter Notebook Jupyter Notebook
MIT License 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.

LSTM-Human-Activity-Recognition

Posts with mentions or reviews of LSTM-Human-Activity-Recognition. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-04-29.

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 LSTM-Human-Activity-Recognition and telemanom you can also consider the following projects:

cryptocurrency-price-prediction - Cryptocurrency Price Prediction Using LSTM neural network

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

learning-to-learn-jax - JAX implementation of Learning to learn by gradient descent by gradient descent

TSAI-DeepNLP-END2.0

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.

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

chicksexer - A Python package for gender classification.

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

sc2eval - LSTM-based machine learning solution for evaluation of strategic position in Starcraft II.

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