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)
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 | LSTM-Human-Activity-Recognition | |
|---|---|---|
| 14 | 1 | |
| 950 | 3,265 | |
| - | - | |
| 0.0 | 0.0 | |
| over 1 year ago | over 1 year ago | |
| Jupyter Notebook | Jupyter Notebook | |
| GNU General Public License v3.0 or later | MIT License |
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.
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.
telemanom
Posts with mentions or reviews of telemanom.
We have used some of these posts to build our list of alternatives
and similar projects.
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.
-
[P] Blog post: Learning JAX by Learning to Learn
Code for https://arxiv.org/abs/1606.04474 found: https://github.com/guillaume-chevalier/LSTM-Human-Activity-Recognition
What are some alternatives?
When comparing telemanom and LSTM-Human-Activity-Recognition you can also consider the following projects:
stock-prediction-deep-neural-learning - Predicting stock prices using a TensorFlow LSTM (long short-term memory) neural network for times series forecasting
cryptocurrency-price-prediction - Cryptocurrency Price Prediction Using LSTM neural network
TSAI-DeepNLP-END2.0
learning-to-learn-jax - JAX implementation of Learning to learn by gradient descent by gradient descent
TensorFlow2.0_Notebooks - Implementation of a series of Neural Network architectures in TensorFow 2.0
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.
telemanom vs stock-prediction-deep-neural-learning
LSTM-Human-Activity-Recognition vs cryptocurrency-price-prediction
telemanom vs TSAI-DeepNLP-END2.0
LSTM-Human-Activity-Recognition vs learning-to-learn-jax
telemanom vs TensorFlow2.0_Notebooks
LSTM-Human-Activity-Recognition vs Twitter-sentiment-analysis