Prediction of avalanches with use of machine learning (Random Forest model, XGBoost) for 22 massifs in French Alps. Bokeh is used for data visualization and Flask for avalanche danger index app.

Jupyter Notebook Avalanche

7 stars

3 devs

muntahajaber/Ransomware-Transactions-Detection

Using machine learning(classification) to detect whether a bitcoin transaction is a ransomware attack

Jupyter Notebook Bitcoin

5 stars

1 devs

Bisonai/1-shot-classification-with-reptile

Fine Tuning for Image Recognition with a model trained with Reptile

Jupyter Notebook Ethereum Virtual Machine Stack

3 stars

2 devs

wildonion/uniXerr

♾️ universe〰️X〰️error ❌

Rust Solana

3 stars

2 devs

aggstam/btc-classifier

Python scripts suite for generating Bitcoin transactions graphs and analyzing them using machine learning.

Python Bitcoin

1 stars

1 devs

philipzabicki/solana-new-pool-classification

Python scripts used to scrap/fetch Solana new pool data, fit classification models and predict on live.

Jupyter Notebook Solana

1 stars

1 devs

phcp-tech/knowledge-zhishi-docs

A domain knowledge sharing platform stored on Arweave.

Arweave

0 stars

1 devs

defenwycke/bitcoin-buds

BUDS (Bitcoin Unified Data Standard) — transaction classification library for Bitcoin. Classifies transactions into tiers (T0 financial → T3 heavy data) for policy-based filtering.

Rust Bitcoin

0 stars

1 devs

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