ml-surveys VS LLM4Rec-Awesome-Papers

Compare ml-surveys vs LLM4Rec-Awesome-Papers and see what are their differences.

ml-surveys

📋 Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc. (by eugeneyan)

LLM4Rec-Awesome-Papers

A list of awesome papers and resources of recommender system on large language model (LLM). (by WLiK)
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ml-surveys LLM4Rec-Awesome-Papers
1 1
2,736 779
- -
0.0 7.8
about 1 year ago about 2 months ago
MIT License -
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

ml-surveys

Posts with mentions or reviews of ml-surveys. We have used some of these posts to build our list of alternatives and similar projects.

LLM4Rec-Awesome-Papers

Posts with mentions or reviews of LLM4Rec-Awesome-Papers. We have used some of these posts to build our list of alternatives and similar projects.
  • LLMS4Rec through RAG?
    1 project | /r/LocalLLaMA | 9 Dec 2023
    I recently came across LLM4Rec-Awesome and felt inspired to build something small based on some of those papers-- essentially, it will be a RAG-powered, recommendation engine for games (and eventually much more).

What are some alternatives?

When comparing ml-surveys and LLM4Rec-Awesome-Papers you can also consider the following projects:

applied-ml - 📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

LLM-Agent-Paper-List - The paper list of the 86-page paper "The Rise and Potential of Large Language Model Based Agents: A Survey" by Zhiheng Xi et al.

awesome-refreshing-llms - EMNLP'23 survey: a curation of awesome papers and resources on refreshing large language models (LLMs) without expensive retraining.

PERSIA - High performance distributed framework for training deep learning recommendation models based on PyTorch.

Awesome-Text2SQL - Curated tutorials and resources for Large Language Models, Text2SQL, Text2DSL、Text2API、Text2Vis and more.

awesome-artificial-intelligence-research - A curated list of Artificial Intelligence (AI) Research, tracks the cutting edge trending of AI research, including recommender systems, computer vision, machine learning, etc.

WhereIsAI - AI company, product, and tool collection.

Awesome-SSL4TS - A professionally curated list of awesome resources (paper, code, data, etc.) on Self-Supervised Learning for Time Series (SSL4TS).

PyTorch-NLP - Basic Utilities for PyTorch Natural Language Processing (NLP)

must-read-ai-papers - A collection of must-read AI-related papers