Deep probabilistic analysis of single-cell and spatial omics data

A Python implementation of the DESeq2 pipeline for bulk RNA-seq DEA.

A python library for multi omics included bulk, single cell and spatial RNA-seq analysis.

Gene Set Enrichment Analysis in Python

A toy example of VAE-regression network

获取QQ空间发布的历史说说

Main model and preprocessing code

A Library for Advanced Deep Time Series Models.

The GitHub repository for the paper "Informer" accepted by AAAI 2021.

[ICLR 2024] Official implementation of "TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting"

A professional list of Papers, Tutorials, and Surveys on AI for Time Series in top AI conferences and journals.

Chronos: Pretrained Models for Probabilistic Time Series Forecasting

交易模块

[PVLDB 2024 Best Paper Nomination] TFB: Towards Comprehensive and Fair Benchmarking of Time Series Forecasting Methods

[ICML 2024 Oral] Official repository of the SparseTSF paper: "SparseTSF: Modeling Long-term Time Series Forecasting with 1k Parameters". This work is developed by the Lab of Professor Weiwei Lin (l…

This repository contains a reading list of papers on Time Series Forecasting/Prediction (TSF) and Spatio-Temporal Forecasting/Prediction (STF). These papers are mainly categorized according to the …

A comprehensive collection of KAN(Kolmogorov-Arnold Network)-related resources, including libraries, projects, tutorials, papers, and more, for researchers and developers in the Kolmogorov-Arnold N…

A Tutorial for DEAP

[AAAI-23 Oral] Official implementation of the paper "Are Transformers Effective for Time Series Forecasting?"

Tools for merging pretrained large language models.

Official repository of Evolutionary Optimization of Model Merging Recipes

LangGPT: Empowering everyone to become a prompt expert!🚀 Structured Prompt，Language of GPT, 结构化提示词，结构化Prompt

ChatMASTER，基于AI大模型api实现的ChatOwner服务，支持一键切换ChatGPT(3.5、4.0)模型，文心一言(支持Stable-Diffusion-XL作图)、通义千问、讯飞星火、智谱清言(ChatGLM)等主流模型，支出同步响应及流式响应，完美呈现打印机效果。

This repository provides Soft prompts, a parameter-efficient fine-tuning method for LLM

⏰ Collaboratively track deadlines of conferences recommended by CCF (Website, Python Cli, Wechat Applet) / If you find it useful, please star this project, thanks~

Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

ICML'2022: Black-Box Tuning for Language-Model-as-a-Service & EMNLP'2022: BBTv2: Towards a Gradient-Free Future with Large Language Models