Maschinelles Lernen · GitHub

Fun-ASR speech recognition models, with native Hugging Face Transformers support for Fun-ASR-Nano and separate FunASR, vLLM and llama.cpp deployment paths.

• Far-field High-noise Recognition: Deeply optimized for far-distance sound pickup and high-noise scenarios (such as conference rooms, in-vehicle environments, industrial sites, etc.), improving recognition accuracy to 93%.
• Supports 7 major dialects: Wu, Cantonese, Min, Hakka, Gan, Xiang, Jin

Python hands on tutorial with 50+ Python Application (10 lines of code) By @xiaowuc2

Eine kuratierte Liste von Python-Ressourcen für Data Science.

Android Application Identifier for Packers, Protectors, Obfuscators and Oddities - PEiD for Android

Books / PDFS / EPUBS for different fields of programming . READ GROW AND ENJOY 😊😊😊😊

Formelerkennung und Bearbeitung in Office | Handschrift und PDF in LaTeX/Markdown umwandeln | Sichere API-Integrationen.

• 📸 Recognize - Capture a region, open an image, select PDF pages, or write by hand; recognize formulas, text, and mixed content
• ⌨️ Edit and preview - Edit LaTeX source with live preview from the bundled MathJax runtime

This repository showcases a selection of machine learning projects undertaken to understand and master various ML concepts. Each project reflects commitment to applying theoretical knowledge to practical scenarios, demonstrating proficiency in machine learning techniques and tools.

TabICLv2: An open tabular foundation model

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Slips, a free software behavioral Python intrusion prevention system (IDS/IPS) that uses machine learning to detect malicious behaviors in the network traffic. Stratosphere Laboratory, AIC, FEL, CVUT in Prague.

• Behavioral Intrusion Prevention: Slips acts as a powerful system to prevent intrusions based on detecting malicious behaviors in network traffic using machine learning.
• Modularity: Slips is written in Python and is highly modular with different modules performing specific detections in the network traffic.

AuK: An Open-Source Foundational Model for Speech Generation and Editing

Deep learning training framework for image super resolution and restoration.

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