Pinned Repositories
2016CCF-StateGrid
CCF2016 - TNT_000二等奖作品
2018-KDD-Cup-Top1-Solutions
2018 KDD Cup Top1 Solutions
2018-KUAISHOU-TSINGHUA-Top13-Solutions
2018中国高校计算机大赛--大数据挑战赛 Top 13-Solutions
2Dconv_pub
Predicting time series with a 2D convolution network
A-Beginner-Guide-to-Carry-out-Extreme-Value-Analysis-with-Codes-in-Python
A beginner's guide to carry out extreme value analysis, which consists of basic steps, multiple distribution fitting, confidential intervals, IDF/DDF, and a simple application of IDF information for roof drainage design. The guide mainly focuses on extreme rainfall analysis. However, the basic steps are also suitable for other climatic or hydrologic variables such as temperature, wind speed or runoff.
acccmip6
Python package for accessing and downloading CMIP6 database
AdderNet
Code for paper " AdderNet: Do We Really Need Multiplications in Deep Learning?"
amazon-asdi
Docs and supporting material for the Amazon Sustainability Data Initiative.
annotated_deep_learning_paper_implementations
🧑🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
Data-Competition-TopSolution
Data competition Top Solution 数据竞赛top解决方案开源整理
wangwangsuibinbin's Repositories
wangwangsuibinbin/2Dconv_pub
Predicting time series with a 2D convolution network
wangwangsuibinbin/acccmip6
Python package for accessing and downloading CMIP6 database
wangwangsuibinbin/amazon-asdi
Docs and supporting material for the Amazon Sustainability Data Initiative.
wangwangsuibinbin/annotated_deep_learning_paper_implementations
🧑🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
wangwangsuibinbin/approachingalmost
Approaching (Almost) Any Machine Learning Problem
wangwangsuibinbin/awesome-deep-time-series-representations
A curated list of state-of-the-art papers on deep learning for universal representations of time series.
wangwangsuibinbin/chatbox
Your Ultimate Copilot on the Desktop. Chatbox is a desktop app for GPT-4 / GPT-3.5 (OpenAI API) that supports Windows, Mac & Linux.
wangwangsuibinbin/ChatGPT-Academic-Prompt
Use ChatGPT for academic writing
wangwangsuibinbin/competition-baseline
数据科学竞赛知识、代码、思路
wangwangsuibinbin/CopyTranslator
Foreign language reading and translation assistant based on copy and translate.
wangwangsuibinbin/data
基于传递熵密度聚类的用户窃电识别方法(论文数据)
wangwangsuibinbin/DCIC2024-Offshore-Wind-Power
本赛题要求选手基于风力海况气象数据、风机性能数据等，针对复杂多变气象和海况条件的深度耦合影响，提出海上风电出力预测模型，提升模型精度以及在工程应用中的可信度，为大规模风电接入下的能源安全可靠运行提供保障。A榜得分0.06490342，排名83；B榜得分0.06745705，排名55
wangwangsuibinbin/DeepL-Crack
Bypass 5,000 characters, Remove edit restriction, Use DeepL Pro Account Cookies/DeepL Api Free Token to translate, Unlock Formal/informal tone, Randomize fingerprint
wangwangsuibinbin/deepwalk
DeepWalk - Deep Learning for Graphs
wangwangsuibinbin/digital-elevation-model
To transform, project, visualize, and read Digital Elevation Models (ASTERGDEMv2.0 and EUDEMv1.1). [简单实用] 数字高程模型的变换、投影、可视化和读取。
wangwangsuibinbin/geospatial-wheels
Geospatial library wheels for Python on Windows
wangwangsuibinbin/ismev
:exclamation: This is a read-only mirror of the CRAN R package repository. ismev — An Introduction to Statistical Modeling of Extreme Values. Homepage: http://www.ral.ucar.edu/~ericg/softextreme.php
wangwangsuibinbin/LKY_OfficeTools
一键自动化 下载、安装、激活 Office 的利器。
wangwangsuibinbin/ncps
PyTorch and TensorFlow implementation of NCP, LTC, and CfC wired neural models
wangwangsuibinbin/ninja_automator
Acquire data with honour and wisdom — using the way of the ninja.
wangwangsuibinbin/OpenCastKit
The open-source solutions of FourCastNet and GraphCast
wangwangsuibinbin/pyextremes
Extreme Value Analysis (EVA) in Python
wangwangsuibinbin/pykan
Kolmogorov Arnold Networks
wangwangsuibinbin/Ridge-Regression-Based-Identification-Method-of-Wiring-Fault-User-in-LVDS
Ridge Regression Based Identification Method of Wiring Fault User in LVDS Data
wangwangsuibinbin/Risk-Assessment-of-Extreme-Precipitation
Risk Assessment of Extreme Precipitation on to Low- and Medium-Voltage Electrical Infrastructure Under the Influence of Climate Change
wangwangsuibinbin/segment-anything
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
wangwangsuibinbin/The-Kaggle-Book
Code Repository for The Kaggle Book, Published by Packt Publishing
wangwangsuibinbin/Time-Series-Library
A Library for Advanced Deep Time Series Models.
wangwangsuibinbin/tiny_python
just tiny python
wangwangsuibinbin/transferlearning
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习