此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。

My blogs and code for machine learning. http://cnblogs.com/pinard

pytorch 包教不包会

⚠️ [ARCHIVED] This version has been archived as of october 2024 and will not be updated anymore, please refer to the README for a link to the new version. This is the official repository for the Re…

Codebase for my book "Python DeepLearning Projects" | Learn applied deep learning for various use-cases on NLP, CV and ASR using TensorFlow and Keras. Book link.

Movie Rating Prediction using GloVe Word Embeddings and Deep Learning (LSTM): Use MovieLens dataset to predict movie ratings using tags generated by users with 67% accuracy using an ensemble model …

Neural Collaborative Filtering for CSCE670

Recommendation System with Bayesian inference

Deep matrix factorization can be summed as two processes, data preparation process and the DMF model. This is the DMF model process.