This list of writing prompts covers a range of topics and tasks, including brainstorming research ideas, improving language and style, conducting literature reviews, and developing research plans.

A curated, but incomplete, list of data-centric AI resources.

A Comprehensive Survey of Scientific Large Language Models and Their Applications in Scientific Discovery (EMNLP'24)

collections for advanced, novel multi-view clustering methods(papers , codes and datasets)

Kolmogorov Arnold Networks

The official GitHub page for the survey paper "A Survey of Large Language Models".

The official GitHub page for the survey paper "A Survey on Data Augmentation in Large Model Era"

AISystem 主要是指AI系统，包括AI芯片、AI编译器、AI推理和训练框架等AI全栈底层技术

✨✨Latest Advances on Multimodal Large Language Models

深度学习入门教程, 优秀文章, Deep Learning Tutorial

TensorFlow code and pre-trained models for BERT

A BERT model for scientific text.

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

Inference code for Llama models

Deep learning-based feature selection for single-cell omics data

This repo includes ChatGPT prompt curation to use ChatGPT better.

Making large AI models cheaper, faster and more accessible

Awesome Deep Graph Clustering is a collection of SOTA, novel deep graph clustering methods (papers, codes, and datasets).

Uniform Manifold Approximation and Projection

scGEAToolbox: Matlab toolbox for single-cell gene expression analyses

Implementation of the Leiden algorithm called by reticulate in R. (CRAN)