2023年最新总结，阿里，腾讯，百度，美团，头条等技术面试题目，以及答案，专家出题人分析汇总。

PyTorch Tutorial for Deep Learning Researchers

🏄 Scalable embedding, reasoning, ranking for images and sentences with CLIP

Officially maintained, supported by PaddlePaddle, including CV, NLP, Speech, Rec, TS, big models and so on.

tensorflow实战练习，包括强化学习、推荐系统、nlp等

A Python scikit for building and analyzing recommender systems

Classic papers and resources on recommendation

Deep recommender models using PyTorch.

Neural Collaborative Filtering

QRec: A Python Framework for quick implementation of recommender systems (TensorFlow Based)

Cinemagoer is a Python package useful to retrieve and manage the data of the IMDb (to which we are not affiliated in any way) movie database about movies, people, characters and companies

Debug PyTorch code using PySnooper

Videodl: A lightweight video downloader written by pure python.

OpenRec is an open-source and modular library for neural network-inspired recommendation algorithms

A pytorch implementation of He et al. "Neural Collaborative Filtering" at WWW'17

A pure Python implement of Collaborative Filtering based on MovieLens' dataset.

Attentive Group Recommendation

Transfer learning algorithm TrAdaboost,coded by python

Transfer Learning JDA and TrAdaboost

🌎 Compute Glove vectors using a co-occurence matrix

Scikit-learn style implementation of TrAdaBoost algorithm

Representation Learning and Pairwise Ranking for Implicit Feedback in Top-N Item Recommendation

Case Recommender: A Flexible and Extensible Python Framework for Recommender Systems

Data, papers, code, notes of Recommend System.

RecQ: A Python Framework for Recommender Systems (TensorFlow Supported). clone from https://github.com/Coder-Yu/RecQ

Study and implementation of state-of-art Group Recommenders for Movies for my Master's thesis.