houliping's Stars
Significant-Gravitas/AutoGPT
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
f/awesome-chatgpt-prompts
This repo includes ChatGPT prompt curation to use ChatGPT better.
binary-husky/gpt_academic
为GPT/GLM等LLM大语言模型提供实用化交互接口，特别优化论文阅读/润色/写作体验，模块化设计，支持自定义快捷按钮&函数插件，支持Python和C++等项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, moss等。
LC044/WeChatMsg
提取微信聊天记录，将其导出成HTML、Word、Excel文档永久保存，对聊天记录进行分析生成年度聊天报告，用聊天数据训练专属于个人的AI聊天助手
mli/paper-reading
深度学习经典、新论文逐段精读
kaixindelele/ChatPaper
Use ChatGPT to summarize the arXiv papers. 全流程加速科研，利用chatgpt进行论文全文总结+专业翻译+润色+审稿+审稿回复
GaiZhenbiao/ChuanhuChatGPT
GUI for ChatGPT API and many LLMs. Supports agents, file-based QA, GPT finetuning and query with web search. All with a neat UI.
thuml/Time-Series-Library
A Library for Advanced Deep Time Series Models.
pengsida/learning_research
本人的科研经验
open-mmlab/mmpretrain
OpenMMLab Pre-training Toolbox and Benchmark
cure-lab/LTSF-Linear
[AAAI-23 Oral] Official implementation of the paper "Are Transformers Effective for Time Series Forecasting?"
ddz16/TSFpaper
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 type of model.
VainF/Awesome-Anything
General AI methods for Anything: AnyObject, AnyGeneration, AnyModel, AnyTask, AnyX
yuqinie98/PatchTST
An offical implementation of PatchTST: "A Time Series is Worth 64 Words: Long-term Forecasting with Transformers." (ICLR 2023) https://arxiv.org/abs/2211.14730
jiran214/GPT-vup
GPT-vup BIliBili | 抖音 | AI | 虚拟主播
wangxuqi/Prompt-Engineering-Guide-Chinese
Prompt工程师指南，源自英文版，但增加了AIGC的prompt部分，为了降低同学们的学习门槛，翻译更新
khundman/telemanom
A framework for using LSTMs to detect anomalies in multivariate time series data. Includes spacecraft anomaly data and experiments from the Mars Science Laboratory and SMAP missions.
thuml/Anomaly-Transformer
About Code release for "Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy" (ICLR 2022 Spotlight), https://openreview.net/forum?id=LzQQ89U1qm_
mims-harvard/TFC-pretraining
Self-supervised contrastive learning for time series via time-frequency consistency
hfawaz/cd-diagram
Critical difference diagram with Wilcoxon-Holm post-hoc analysis.
thuml/Corrformer
About code release of "Interpretable Weather Forecasting for Worldwide Stations with a Unified Deep Model", Nature Machine Intelligence, 2023. https://www.nature.com/articles/s42256-023-00667-9
prompting-work/Prompt-Engineering-Guide-Cn
关于提示工程的技术文章汇总和翻译
Haochen-Wang409/HPM
[CVPR'23] Hard Patches Mining for Masked Image Modeling
zhycs/LaST
Code for paper titled "Learning Latent Seasonal-Trend Representations for Time Series Forecasting" in NeurIPS 2022
sanatonek/time_series_explainability
SupritYoung/free-self-instruct
实现向 ChatGPT 自动提问的脚本。A script that implements automatic questions to ChatGPT.
hanlu-nju/channel_independent_MTSF
Official code for "The Capacity and Robustness Trade-off: Revisiting the Channel Independent Strategy for Multivariate Time Series Forecasting", TKDE 2024
ming71/GCIoU-loss
[CVPR 2023] Official implementation of "Deep Dive into Gradients: Better Optimization for 3D Object Detection with Gradient-Corrected IoU Supervision".
chengw07/InfoTS
Time Series Contrastive Learning with Information-Aware Augmentations (Code)
SiwGuan/VSAD