Lvan-left

ShiArthur03

Time-Series-Works-Conferences

Time-Series Work Summary in CS Top Conferences (NIPS, ICML, ICLR, KDD, AAAI, WWW, IJCAI, CIKM, ICDM, ICDE, etc.)

neuralforecast

Scalable and user friendly neural :brain: forecasting algorithms.

clash-for-linux-backup

基于Clash Core 制作的Clash For Linux备份仓库 A Clash For Linux Backup Warehouse Based on Clash Core

openai-cookbook

Examples and guides for using the OpenAI API

Time-Series-Library

A Library for Advanced Deep Time Series Models.

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.

LLM4TS

Large Language & Foundation Models for Time Series.

Paper-Picture-Writing-Code

MLNLP: Paper Picture Writing Code

linux-command

Linux命令大全搜索工具，内容包含Linux命令手册、详解、学习、搜集。https://git.io/linux

google-research

Google Research

deep-learning-time-series

List of papers, code and experiments using deep learning for time series forecasting

n-beats

Keras/Pytorch implementation of N-BEATS: Neural basis expansion analysis for interpretable time series forecasting.

darts

A python library for user-friendly forecasting and anomaly detection on time series.

Python

All Algorithms implemented in Python

CVPR2024-Paper-Code-Interpretation

cvpr2024/cvpr2023/cvpr2022/cvpr2021/cvpr2020/cvpr2019/cvpr2018/cvpr2017 论文/代码/解读/直播合集，极市团队整理

GitHub-Chinese-Top-Charts

:cn: GitHub中文排行榜，各语言分设「软件 | 资料」榜单，精准定位中文好项目。各取所需，高效学习。

InterviewGuide

🔥🔥「InterviewGuide」是阿秀从校园->职场多年计算机自学过程的记录以及学弟学妹们计算机校招&秋招经验总结文章的汇总，包括但不限于C/C++ 、Golang、JavaScript、Vue、操作系统、数据结构、计算机网络、MySQL、Redis等学习总结，坚持学习，持续成长！

External-Attention-pytorch

🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

smote_variants

A collection of 85 minority oversampling techniques (SMOTE) for imbalanced learning with multi-class oversampling and model selection features

annotated_deep_learning_paper_implementations

🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

Python

最良心的 Python 教程：

transferlearning

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

996.ICU

Repo for counting stars and contributing. Press F to pay respect to glorious developers.

category-theory-python

Learning platform for category theory in python

handson-ml

⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.

stylenet

Neural Network with Style Synthesis

vision

Datasets, Transforms and Models specific to Computer Vision

ML-For-Beginners

12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

Mini-VGG-CIFAR10

这是利用Mini-VGG实现CIFAR10数据集训练与评估的函数