Showing 1021-1040 of 1,983 projects
A Python script to automatically coerce a Windows server to authenticate on an arbitrary machine through multiple methods.
A high-level machine learning and deep learning library for the PHP language.
A PoC tool to coerce Windows hosts to authenticate to other machines via MS-EFSRPC functions.
AutomatedLab is a provisioning solution and framework for deploying complex labs on HyperV and Azure with simple PowerShell scripts.
EasyNLP is an easy-to-use NLP toolkit for tasks like text classification, retrieval, and generation.
A comprehensive compendium of resources for machine learning and deep learning development.
A powerful, AI-powered tool for HTTP API development, testing, documentation, and automation.
TFX is an end-to-end platform for deploying production ML pipelines.
PyGAD is a Python 3 library for building genetic algorithms and training machine learning models.
A cross-platform G-Code sender for CNC machines, supporting popular controllers like GRBL, Smoothieware, TinyG and G2core.
A comprehensive collection of resources related to programming languages and compiler design.
A functional, immutable Finite State Machine library for JavaScript developers
A Python library that converts images of LaTeX math equations into LaTeX code using computer vision and deep learning.
A privacy-focused archiving tool with an IM-style interface, integrated with various web archival services.
A cross-compiler that allows building Go binaries for multiple platforms from a single machine.
A curated collection of Chinese resources for reinforcement learning, a machine learning technique.
GPy is a Gaussian processes framework in Python, providing a flexible toolkit for Bayesian modeling and machine learning.
A handwritten text recognition system implemented using TensorFlow for developers working with computer vision and OCR.
A repository containing notebooks of posts on Medium, focused on AI, data science, and machine learning topics.
This GitHub repository is a comprehensive tutorial for learning machine learning in just two months, featuring Jupyter Notebooks and covering essential ML concepts.
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