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

🖱️ A program to manage the Windows right-click context menu with support of Windows 7 - 11

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

A read application customing for huawei matepad paper

Code for "Is Mamba Effective for Time Series Forecasting?"

Implementation of paper "Towards a Unified View of Parameter-Efficient Transfer Learning" (ICLR 2022)

A template for WinUI 3, with support of tray icon, multi-thread window, splash screen, etc.

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

TimeMachine: A Time Series is Worth 4 Mambas for Long-term Forecasting

[ICLR 2024] Official implementation of " 🦙 Time-LLM: Time Series Forecasting by Reprogramming Large Language Models"

Powerful context menu manager for Windows File Explorer

A modern GUI client based on Tauri, designed to run in Windows, macOS and Linux for tailored proxy experience

A Fluent and Modern Tailscale client for Windows.

Community-made plugins and submissions

Mamba SSM architecture

A Flow Launcher plugin for managing your clipboard history and customizing copy rules with support for text, images, and files

Lightweight Armoury Crate alternative for Asus laptops and ROG Ally. Control tool for ROG Zephyrus G14, G15, G16, M16, Flow X13, Flow X16, TUF, Strix, Scar and other models

Count the MACs / FLOPs of your PyTorch model.

Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).

Qauntile autoregressive neural network for time series anamoly detection.

Code for paper "Continuous and Distribution-free Probabilistic Wind Power Forecasting: A Conditional Normalizing Flow Approach" https://arxiv.org/abs/2206.02433

Optical Flow Dataset and Benchmark for Visual Crowd Analysis

FluentUI for QML

An inky color scheme for prose and code.

A professionally curated list of awesome resources (paper, code, data, etc.) on transformers in time series.

OpenMMLab Foundational Library for Training Deep Learning Models

🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…

Master programming by recreating your favorite technologies from scratch.