Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
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Curriculum | 762 | 3 months ago | 67 | other | ||||||
👩🏫 👨🏫 The open-source curriculum of Enki! | ||||||||||
Workshops | 362 | 4 months ago | 2 | mit | Jupyter Notebook | |||||
Workshops organized to introduce students to security, AI, blockchain, AR/VR, hardware and software | ||||||||||
Kamu Cli | 263 | 3 months ago | 1 | November 16, 2023 | 103 | other | Rust | |||
New generation decentralized data lake and a streaming data pipeline | ||||||||||
Resources | 199 | a year ago | 10 | mit | HTML | |||||
Get Best Resources on every Domain here! | ||||||||||
Public Datasets | 187 | 3 months ago | 4 | mit | ||||||
The list of public blockchain datasets in BigQuery | ||||||||||
Blockchain2graph | 135 | 3 years ago | 39 | gpl-3.0 | Java | |||||
Blockchain2graph extracts blockchain data (bitcoin) and insert them into a graph database (neo4j). | ||||||||||
Eth Data Science Course | 101 | a year ago | HTML | |||||||
Learning Data Science on the Ethereum Blockchain with @omnianalytics | ||||||||||
Sanpy | 91 | 3 months ago | 67 | June 15, 2022 | 8 | mit | Python | |||
Santiment API Python Client | ||||||||||
Etherscan Ml | 40 | 6 years ago | 4 | April 09, 2018 | 1 | Python | ||||
Python Data Science and Machine Learning Library for the Ethereum and ERC-20 Blockchain | ||||||||||
Bitcoin_analysis | 38 | 3 years ago | n,ull | Jupyter Notebook | ||||||
Python Bitcoin is widely used cryptocurrency for digital market. It is decentralised that means it is not own by government or any other company.Transactions are simple and easy as it doesn’t belong to any country.Records data are stored in Blockchain.Bitcoin price is variable and it is widely used so it is important to predict the price of it for making any investment.This project focuses on the accurate prediction of cryptocurrencies price using neural networks. We’re implementing a Long Short Term Memory (LSTM) model using keras; it’s a particular type of deep learning model that is well suited to time series data (or any data with temporal/spatial/structural order e.g. movies, sentences, etc.).We have used different activation function for analysing the efficiency of the system.Instead of historical data we are using live streaming data for better accuracy. |