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🧑🏫 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, ... 🧠
Code repository for the O'Reilly publication "Building Machine Learning Pipelines" by Hannes Hapke & Catherine Nelson
判断一天是不是法定节假日/法定工作日(查看节假日安排)
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 300 universities from 55 countries including Stanford, MIT, Harvard, and Cambridge.
《动手学深度学习》:面向中文读者、能运行、可讨论。中英文版被55个国家的300所大学用于教学。
imoocCourseTest
深度学习以进行时间序列预测
Docker images to compile TensorFlow yourself.
企业门户网站
🔥🔥High-Performance Face Recognition Library on PaddlePaddle & PyTorch🔥🔥
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
🏅 Collection of Kaggle Solutions and Ideas 🏅
A List of Recommender Systems and Resources
<In Development> Transformers for Keras that support sklearn's .fit .predict .
About Next Basket Recommendations Based on Neural Network.
Natural Language Processing Tutorial for Deep Learning Researchers
Code release for "Non-stationary Transformers: Exploring the Stationarity in Time Series Forecasting" (NeurIPS 2022), https://arxiv.org/abs/2205.14415
A developing recommender system in tensorflow2. Algorithm: UserCF, ItemCF, LFM, SLIM, GMF, MLP, NeuMF, FM, DeepFM, MKR, RippleNet, KGCN and so on.
Recurrence the recommender paper with Tensorflow2.0
Deep Learning Recommender System Study Notes
Best Practices on Recommendation Systems
PyTorch implementations of Top-N recommendation, collaborative filtering recommenders.
A Curated List of Must-read Papers on Recommender System.
Python-based framework for building and evaluating session-based and session-aware recommender systems.
A game theoretic approach to explain the output of any machine learning model.
vue-element-admin本地化
收集各种网站模板
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.