ekamioka's repositories

awesome-datascience

:memo: An awesome Data Science repository to learn and apply for real world problems.

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awesome-healthcare

Curated list of awesome open source healthcare software, libraries, tools and resources.

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BEPb

Config files for my GitHub profile.

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CAAFE

CAAFE lets you semi-automate your feature engineering process based on your explanations on the dataset and with the help of language models. It is based on the paper "LLMs for Semi-Automated Data Science: Introducing CAAFE for Context-Aware Automated Feature Engineering" by Hollmann, Müller, and Hutter (2023).

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data-science-from-scratch

code for Data Science From Scratch book

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diagrams

:art: Diagram as Code for prototyping cloud system architectures

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DidierStevensSuite

Please no pull requests for this repository. Thanks!

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doccano

Open source text annotation tool for machine learning practitioner.

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DumpsterDiver

Tool to search secrets in various filetypes.

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HowToBeADataScientistImpostor-book

Chapters, code, and organizational materials for the book "How to be a data scientist impostor?"

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langchain

🦜🔗 Build context-aware reasoning applications

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lazypredict

Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning

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misp-warninglists

Warning lists to inform users of MISP about potential false-positives or other information in indicators

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natlas

Scaling Network Scanning. Changes prior to 1.0 may cause difficult to avoid backwards incompatibilities. You've been warned.

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oletools

oletools - python tools to analyze MS OLE2 files (Structured Storage, Compound File Binary Format) and MS Office documents, for malware analysis, forensics and debugging.

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pandas-ai

Pandas AI is a Python library that integrates generative artificial intelligence capabilities into Pandas, making dataframes conversational

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pyinstxtractor

PyInstaller Extractor

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santa

A binary authorization system for macOS

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scikit-learn-lambda

Toolkit for deploying scikit-learn models for realtime inference on AWS Lambda

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shapash

🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models

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SourceCodeVisualizer

Visualize how a projects source code is distributed among its files and folders

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static-files

A collection of static files maintained by the Sublime team, primarily used for phishing defense.

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tabnet

PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf

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tfserving-python-predict-client

Client used to send grcp requests to a tfserving model

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URL-Classification

Machine learning to classify Malicious (Spam)/Benign URL's

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windows_sdk_data

Windows API listing in JSON format - generated from SDK headers + SDK API documentation

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