stock-prediction-deep-neural-learning VS telemanom

Compare stock-prediction-deep-neural-learning vs telemanom and see what are their differences.

stock-prediction-deep-neural-learning

Predicting stock prices using a TensorFlow LSTM (long short-term memory) neural network for times series forecasting (by JordiCorbilla)
Machine Learning Deep Learning deep-neural-networks yfinance lstm-neural-networks lstm-model recurrent-neural-networks stock-prediction stock-prices market-data Finance Cryptocurrency Crypto Lstm Stock time-series jupyter-notebook
Source Code
jordicorbilla.github.io
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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)
Deep Learning Lstm time-series Keras Tensorflow kdd2018 kdd Rnn anomaly-detection
Source Code
arxiv.org
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stock-prediction-deep-neural-learning telemanom
44 14
431 950
- -
7.1 0.0
4 months ago over 1 year ago
Jupyter Notebook Jupyter Notebook
Creative Commons Zero v1.0 Universal GNU General Public License v3.0 or later
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stock-prediction-deep-neural-learning

Posts with mentions or reviews of stock-prediction-deep-neural-learning. 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 stock-prediction-deep-neural-learning and telemanom you can also consider the following projects:

mplfinance - Financial Markets Data Visualization using Matplotlib

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

bulbea - :boar: :bear: Deep Learning based Python Library for Stock Market Prediction and Modelling

TSAI-DeepNLP-END2.0

dm-haiku - JAX-based neural network library

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

easyesn - Python library for Reservoir Computing using Echo State Networks

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

MachineLearningStocks - Using python and scikit-learn to make stock predictions

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

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

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.

stock-prediction-deep-neural-learning vs mplfinance telemanom vs LSTM-Human-Activity-Recognition stock-prediction-deep-neural-learning vs bulbea telemanom vs TSAI-DeepNLP-END2.0 stock-prediction-deep-neural-learning vs dm-haiku telemanom vs TensorFlow2.0_Notebooks stock-prediction-deep-neural-learning vs easyesn telemanom vs CodeSearchNet stock-prediction-deep-neural-learning vs MachineLearningStocks telemanom vs tsai stock-prediction-deep-neural-learning vs sc2eval telemanom vs Twitter-sentiment-analysis