Twitter-sentiment-analysis VS telemanom

Compare Twitter-sentiment-analysis vs telemanom and see what are their differences.

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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Twitter-sentiment-analysis telemanom
1 14
2 950
- -
0.0 0.0
almost 2 years ago over 1 year ago
Jupyter Notebook Jupyter Notebook
GNU General Public License v3.0 only 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.

Twitter-sentiment-analysis

Posts with mentions or reviews of Twitter-sentiment-analysis. 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 Twitter-sentiment-analysis and telemanom you can also consider the following projects:

pycaret - An open-source, low-code machine learning library in Python

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

AI-For-Beginners - 12 Weeks, 24 Lessons, AI for All!

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

Amber-Heard_Disinformation_Operations_Bots - Amber Heard Social Network Analysis of Disinformation/Influence Operations, Bots, & Crime Across-Platforms. - Twitter, Reddit, YouTube, Instagram, Change.org, Facebook, Tumblr, TikTok. To create Foundations to Help victims of bots, cyberabuse, domestic abuse, coercive control, crime, & disinformation operations. We want to Save Lives & help partners create systems to help online - including specialized and accurate rescue, quality custom, data analysis, social network analysis, forensics, research, and public safety technologies - with focus on the victim primarily & her environment.

TSAI-DeepNLP-END2.0

GAN-RNN_Timeseries-imputation - Recurrent GAN for imputation of time series data. Implemented in TensorFlow 2 on Wikipedia Web Traffic Forecast dataset from Kaggle.

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

Algo-Trading - This is my github repository where I post trading strategies, tutorials and research on quantitative finance with R, C++ and Python. Some of the topics explored include: machine learning, high frequency trading, NLP, technical analysis and more. Hope you enjoy it!

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

Whatsapp-Chart-Analysis-WebApp - WhatsApp Chat Analyser uses your Whatsapp data and analysis it and extracts insides from your cart history.

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