cryptocurrency-price-prediction VS LSTM-Human-Activity-Recognition

Compare cryptocurrency-price-prediction vs LSTM-Human-Activity-Recognition 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)
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cryptocurrency-price-prediction LSTM-Human-Activity-Recognition
2 1
555 3,265
- -
0.0 0.0
over 1 year ago over 1 year ago
Jupyter Notebook Jupyter Notebook
MIT License MIT License
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cryptocurrency-price-prediction

Posts with mentions or reviews of cryptocurrency-price-prediction. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-03-04.
  • Help with Jupyter notebook for crypto price prediction
    2 projects | /r/learnpython | 4 Mar 2021
    Hey. This isn't really a predictor or forecaster in any sense, since the independent variables (X) are not knowable ahead of time. In fact, they include some serious data leakage such as the day's high and low, which will only be known at close (which is what it predicted). Also, the code to show the predictions is wrong, and essentially just shows the training data shifted forward (https://github.com/abhinavsagar/cryptocurrency-price-prediction/issues/1) so the results are just not there.

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.

What are some alternatives?

When comparing cryptocurrency-price-prediction and LSTM-Human-Activity-Recognition you can also consider the following projects:

Time-Series-Forecasting-Using-LSTM - Time-Series Forecasting on Stock Prices using LSTM

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.

AI-Expert-Roadmap - Roadmap to becoming an Artificial Intelligence Expert in 2022

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

machine-learning-for-trading - Code for Machine Learning for Algorithmic Trading, 2nd edition.

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.

spaCy - 💫 Industrial-strength Natural Language Processing (NLP) in Python

chicksexer - A Python package for gender classification.

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

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

artificial-intelligence-and-machine-learning - A repository for implementation of artificial intelligence algorithm which includes machine learning and deep learning algorithm as well as classical AI search algorithm

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