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The University of Queensland
- Brisbane, Australia
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17:29
(UTC +10:00) - junliang-yu.github.io
Stars
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
Simple academic theme for scientist personal page
An AI agent that writes (actually useful) code for you
MinusX is an AI Data Scientist for Analytics Apps you already use and love. Currently it supports Jupyter, Metabase, & Posthog.
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. RAG systems combine information retrieval with generative models to provide accurate and cont…
The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery 🧑🔬
A Survey on Data Selection for Language Models
Awesome-LLM-Tabular: a curated list of Large Language Model applied to Tabular Data
该仓库尝试整理推荐系统领域的一些经典算法模型
A Benchmark of Tabular Machine Learning in-the-Wild with real-world industry-grade tabular datasets
A compilation of the best multi-agent papers
Desktop app for automatically translating comics - BDs, Manga, Manhwa, Fumetti and more in a variety of formats (Image, Pdf, Epub, cbr, cbz, etc) and in multiple languages.
Official repo for the paper "Scaling Synthetic Data Creation with 1,000,000,000 Personas"
This is the repository for the Tool Learning survey.
Official Implementation of "Graph of Thoughts: Solving Elaborate Problems with Large Language Models"
A subjective learning guide for generative AI research
⚡FlashRAG: A Python Toolkit for Efficient RAG Research
PKU-DAIR / RAG-Survey
Forked from hymie122/RAG-SurveyCollecting awesome papers of RAG for AIGC. We propose a taxonomy of RAG foundations, enhancements, and applications in paper "Retrieval-Augmented Generation for AI-Generated Content: A Survey".
Awesome LLM compression research papers and tools.
A high-throughput and memory-efficient inference and serving engine for LLMs
Perplexica is an AI-powered search engine. It is an Open source alternative to Perplexity AI
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
[IJCAI 2024] Papers about graph reduction including graph coarsening, graph condensation, graph sparsification, graph summarization, etc.