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Lightweight, extensible data validation library for Python.
A simple pip-installable Python tool to generate your HTML citation world map from your Google Scholar ID.
Python library for data-centric AI and machine learning with messy, real-world data and labels.
Optimization library focused on machine learning, pythonic implementations of gradient descent, LBFGS, rmsprop, adadelta and others.
A Modern, Fast, and Modular Deep Learning and Machine Learning framework for Python.
A plotting library for Python, based on D3.js.
Analytical Web Apps for Python, R, Julia, and Jupyter.
Very simple implementation of neural networks for dummies in python without using any libraries, with detailed comments.
Collect, clean and visualize your data in Python.
A python library for accurate and scalable fuzzy matching, record deduplication and entity-resolution.
DeepSearch is a powerful Python-based OSINT utility that leverages Google's advanced search operators to perform comprehensive digital footprint analysis.
A Python library to remove unwanted pseudo-text from images generated by your favorite generative AI models (Stable Diffusion, Midjourney, DALLĀ·E).
An API wrapper for Discord written in Python.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Tools for exploratory data analysis in Python.
Dorks Eye Google Hacking Dork Scraping and Searching Script. Dorks Eye is a script I made in python 3. With this tool, you can easily find Google Dorks. Dork Eye collects potentially vulnerable web pages and applications on the Internet or other awesome info that is picked up by Google's search bots. Author: Jolanda de Koff
A lightweight Python library for building execution pipelines with retry, parallel execution, cron scheduling, and async support.
Python library for scalable Bayesian optimisation.
Python library for decision tree visualization and model interpretation.
Python library for experiment metrics logging into simply formatted local files.
Python package which helps to debug machine learning classifiers and explain their predictions.
The Python ensemble sampling toolkit for affine-invariant MCMC.
A fast Evolution Strategy implementation in Python.