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Name: 李彬
Type: User
Company: 长沙理工大学
Name: 李彬
Type: User
Company: 长沙理工大学
CCF2016 - TNT_000二等奖作品
2018 KDD Cup Top1 Solutions
2018**高校计算机大赛--大数据挑战赛 Top 13-Solutions
Predicting time series with a 2D convolution network
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.
Python package for accessing and downloading CMIP6 database
Code for paper " AdderNet: Do We Really Need Multiplications in Deep Learning?"
Docs and supporting material for the Amazon Sustainability Data Initiative.
🧑🏫 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, ... 🧠
Approaching (Almost) Any Machine Learning Problem
accessible AutoML for deep learning.
A curated list of state-of-the-art papers on deep learning for universal representations of time series.
A collection of important graph embedding, classification and representation learning papers with implementations.
这是BDCI2018的联通赛题第一名解决方案
Chinese Data Competitions' Solutions
Your Ultimate Copilot on the Desktop. Chatbox is a desktop app for GPT-4 / GPT-3.5 (OpenAI API) that supports Windows, Mac & Linux.
Use ChatGPT for academic writing
PyTorch implementation of CNNs for CIFAR dataset (97.71% on cifar10)
数据科学竞赛知识、代码、思路
Foreign language reading and translation assistant based on copy and translate.
基于传递熵密度聚类的用户窃电识别方法(论文数据)
Data competition Top Solution 数据竞赛top解决方案开源整理
A collection of popular Data Science Competitions
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
Keras implementation of "DeblurGAN: Blind Motion Deblurring Using Conditional Adversarial Networks"
Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT)
深度学习开源书,基于TensorFlow 2.0实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.
Bypass 5,000 characters, Remove edit restriction, Use DeepL Pro Account Cookies/DeepL Api Free Token to translate, Unlock Formal/informal tone, Randomize fingerprint
Python for Deep Learning,《深度学习》数学推导、原理与代码实现
DeepWalk - Deep Learning for Graphs
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.