Skill-Verzeichnis

Wiederverwendbare Skills für AI Agents entdecken.

Durchsuche reale GitHub-Skills nach Aufgabe und prüfe Stars, Trust, Audit, Kategorie und Installationspfad vor der Verwendung.

Jede Empfehlung bleibt mit ihrem Repository, Audit und Installationspfad nachvollziehbar.

Suchergebnisse: convolutional-neural-networks

Englisches Verzeichnis

Tensors and Dynamic neural networks in Python with strong GPU acceleration

101K
Stars
76/100
Trust
Kategorie: ml-automationAudit

A comprehensive collection of ready-to-use scientific and research skills for AI agents.

31K
Stars
78/100
Trust
Kategorie: utilityAudit

Visualizer for neural network, deep learning and machine learning models

33K
Stars
81/100
Trust
Kategorie: ml-automationAudit

Dive into this repository, a comprehensive resource covering Data Structures, Algorithms, 450 DSA by Love Babbar, Striver DSA sheet, Apna College DSA Sheet, and FAANG Questions! 🚀 That's not all! We've got Technical Subjects like Operating Systems, DBMS, SQL, Computer Networks, and Object-Oriented Programming, all waiting for you.

12K
Stars
82/100
Trust
Kategorie: data-analysisAudit

Nuclei is a fast, customizable vulnerability scanner powered by the global security community and built on a simple YAML-based DSL, enabling collaboration to tackle trending vulnerabilities on the internet. It helps you find vulnerabilities in your applications, APIs, networks, DNS, and cloud configurations.

29K
Stars
87/100
Trust
Kategorie: securityAudit

Low-code framework for building custom LLMs, neural networks, and other AI models

12K
Stars
87/100
Trust
Kategorie: ml-automationAudit

Netmaker makes networks with WireGuard. Netmaker automates fast, secure, and distributed virtual networks.

12K
Stars
77/100
Trust
Kategorie: devopsAudit

A scikit-learn compatible neural network library that wraps PyTorch

6.2K
Stars
80/100
Trust
Kategorie: ml-automationAudit

Download, model, analyze, and visualize street networks and other geospatial features from OpenStreetMap.

5.7K
Stars
86/100
Trust
Kategorie: geo-scienceAudit

A Python toolkit/library for reality-centric machine/deep learning & data mining on partially-observed time series, with 50+ SOTA neural network models for scientific analysis tasks (imputation, classification, clustering, forecasting, anomaly detection, cleaning) on incomplete industrial irregularly-sampled multivariate TS with NaN missing values

2.0K
Stars
83/100
Trust
Kategorie: data-analysisAudit

High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.

4.8K
Stars
84/100
Trust
Kategorie: ml-automationAudit

Scalable and user friendly neural :brain: forecasting algorithms.

4.2K
Stars
80/100
Trust
Kategorie: ml-automationAudit