puikinsh/kiaalap
Free admin dashboard template focused on education, online course and school management. Build using Bootstrap 5 and Vite 7
https://github.com/puikinsh/kiaalap.gitSignal Finder is an independent product. Some AI-powered features use third-party AI models to generate summaries, search assistance, and research outputs. Model providers do not operate, endorse, or control Signal Finder.
AI outputs may be inaccurate, incomplete, or outdated. Please review the original repository, documentation, and your own judgment before making product, technical, or business decisions.
f.k.a. Awesome ChatGPT Prompts. Share, discover, and collect prompts from the community. Free and open source — self-host for your organization with complete privacy.
prompts.chat is an open-source prompt library for AI chat models, originally designed for ChatGPT, compatible with modern AI assistants. It offers a curated collection of prompts, supports self-hosting for privacy, and integrates with various platforms like Hugging Face and GitHub.
Focus on one document-heavy or ops-heavy job and make the path from raw context to useful answer dramatically shorter.
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
The 'llm-course' is a comprehensive guide to Large Language Models (LLMs), offering fundamental knowledge, latest techniques, and application development. It includes optional sections on mathematics, Python, and neural networks, with hands-on Colab notebooks and resources for further learning.
Build a learning platform for one skill domain with structured paths, progress tracking, and community.
from vibe coding to agentic engineering - practice makes claude perfect
claude-code-best-practice is a repository focusing on agentic engineering and Claude Code best practices, offering development workflows, tips, and tricks for effective Claude Code usage. It includes detailed guidance on orchestration, command-agent-skill patterns, and workflow management.
Develop a comprehensive Claude Code training and certification platform, targeting professional developers and enterprises. Package the repository's orchestration workflows and command-agent-skill patterns into an interactive learning module, differentiating from existing solutions by offering a hands-on, practical approach to Claude Code mastery.
吴恩达老师的机器学习课程个人笔记
This project provides comprehensive Chinese notes for Andrew Ng's Machine Learning course. It covers topics from linear regression to neural networks, including single and multiple variable linear regression, logistic regression, regularization, and more. The notes are accompanied by Octave tutorials and are available in markdown, html, and word formats for easy reading and reference.
Develop an interactive, subscription-based platform that hosts the repository's content, offering additional features such as quizzes, project templates, and a community forum. Differentiate by integrating real-world datasets and case studies for hands-on learning, and by providing expert Q&A sessions with industry professionals.
PyTorch Tutorial for Deep Learning Researchers
This repository offers a PyTorch tutorial for deep learning researchers, covering basics like linear regression and logistic regression, intermediate topics such as CNNs and RNNs, advanced topics like GANs and VAEs, and utilities like TensorBoard integration. It supports Python 2.7 or 3.5+ and PyTorch 0.4.0+.
Develop an interactive, online PyTorch learning platform that integrates the repository's tutorial code with interactive elements and real-world datasets. Target the academic and corporate training markets by offering a unique, hands-on learning experience that differentiates from traditional courses through its code-first approach and practical application of PyTorch models.