AI Paper Master-AI paper and code search tool
Find research papers with working code
Can you plot histgram graph to show me these framework allocation?
Show me some articles regarding to FlashAttention
Show me articles regarding to AlexNet
Just give me some papers mentioned Transformer
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Introduction to AI Paper Master
AI Paper Master is a specialized system designed to assist users in navigating a vast repository of research papers and corresponding code implementations. Its main function is to streamline the process of accessing cutting-edge research alongside codebases, ensuring that users—whether they are students, researchers, or developers—can easily find papers relevant to their interests and quickly access associated code repositories. The system is particularly useful for those engaged in AI research or development and provides tools for searching through papers using different filters and criteria.
Core Functions of AI Paper Master
Research Paper Search
ExampleA user searches for the latest papers on 'transformer models' and receives a list of relevant papers along with their code implementations.
ScenarioA PhD student working on NLP projects can use AI Paper Master to quickly find recent research on transformer models, along with GitHub links to the implementation, saving time on literature review and experimentation.
Code Repository Access
ExampleA user finds a paper on a novel GAN architecture and immediately accesses the corresponding code repository for further experimentation.
ScenarioA machine learning engineer looking to implement the latest generative models can directly access and experiment with open-source implementations provided with the papers.
Framework-based Filtering
ExampleA researcher searches for papers specifically implemented in TensorFlow, helping them avoid papers with PyTorch implementations when they prefer the TensorFlow ecosystem.
ScenarioA developer proficient in TensorFlow needs to ensure that any new models or architectures they experiment with have TensorFlow implementations, making their integration work smoother.
Ideal User Groups for AI Paper Master
Researchers
Researchers working in the AI and machine learning space who need to stay updated with the latest papers and implementations. They benefit from easy access to both papers and corresponding codebases, allowing them to validate results or experiment with the implementations.
Developers & Engineers
AI developers and engineers who are looking to implement cutting-edge technologies in their projects. They gain value from having quick access to both theoretical papers and practical code implementations, helping them integrate state-of-the-art solutions into their systems.
How to Use AI Paper Master
1
Visit aichatonline.org for a free trial without login, also no need for ChatGPT Plus.
2
Search for academic papers by entering your query or keywords related to the research topic.
3
Review the generated list of research papers, which includes links to the paper PDFs and relevant code repositories.
4
Filter results based on AI frameworks, such as TensorFlow or PyTorch, to find compatible code.
5
Download the paper and code for in-depth analysis or integration into your research project.
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Q&A About AI Paper Master
What does AI Paper Master do?
AI Paper Master helps users find research papers along with code implementations, making it easier to replicate experiments or explore AI models.
Is there a subscription needed to use AI Paper Master?
No, AI Paper Master offers a free trial with no login or ChatGPT Plus requirement. Just visit the website to start searching.
What kind of research papers can I find?
You can find AI-related research papers from top conferences, including machine learning, computer vision, natural language processing, and more.
Does AI Paper Master provide the source code?
Yes, alongside the paper links, AI Paper Master includes links to code repositories, so you can access implementations on GitHub and other platforms.
Can I filter papers based on specific AI frameworks?
Yes, you can filter papers based on frameworks like TensorFlow, PyTorch, and others to ensure compatibility with your projects.