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mingsummer's Projects

annotated_deep_learning_paper_implementations icon 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, ... 🧠

chinese-calendar icon chinese-calendar

判断一天是不是法定节假日/法定工作日(查看节假日安排)

d2l-en icon d2l-en

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 300 universities from 55 countries including Stanford, MIT, Harvard, and Cambridge.

d2l-zh icon d2l-zh

《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。

face.evolve icon face.evolve

🔥🔥High-Performance Face Recognition Library on PaddlePaddle & PyTorch🔥🔥

handson-ml2 icon handson-ml2

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.

nlp-tutorial icon nlp-tutorial

Natural Language Processing Tutorial for Deep Learning Researchers

nonstationary_transformers icon nonstationary_transformers

Code release for "Non-stationary Transformers: Exploring the Stationarity in Time Series Forecasting" (NeurIPS 2022), https://arxiv.org/abs/2205.14415

recommender-system icon recommender-system

A developing recommender system in tensorflow2. Algorithm: UserCF, ItemCF, LFM, SLIM, GMF, MLP, NeuMF, FM, DeepFM, MKR, RippleNet, KGCN and so on.

recsys_pytorch icon recsys_pytorch

PyTorch implementations of Top-N recommendation, collaborative filtering recommenders.

rspapers icon rspapers

A Curated List of Must-read Papers on Recommender System.

session-rec icon session-rec

Python-based framework for building and evaluating session-based and session-aware recommender systems.

shap icon shap

A game theoretic approach to explain the output of any machine learning model.

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