QT Style Sheets templates

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

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。

😎 Awesome lists about all kinds of interesting topics

TinyXML2 is a simple, small, efficient, C++ XML parser that can be easily integrated into other programs.

Sample programs for Ice

📖 作为对《C++ Concurrency in Action》英文版的中文翻译。

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

CTR prediction using FM FFM and DeepFM

Machine learning evaluation metrics, implemented in Python, R, Haskell, and MATLAB / Octave

Convert TensorFlow, Keras, Tensorflow.js and Tflite models to ONNX

AI100文本分类竞赛代码。从传统机器学习到深度学习方法的测试

Best Practices on Recommendation Systems

Enhanced LTSM for natural language inference

tensorflow实战练习，包括强化学习、推荐系统、nlp等

Tensorflow implementation of DeepFM for CTR prediction.

Solutions of Kaggle Competition

gbdt+lr

Linear Recommender AAAI-16 code

机器学习基本模型算法介绍(附加案例)

Neural candidates generation network based on Youtube reommender paper

recommendation system with Youtube Deep Net

wide and deep labs and samples

Wide and Deep Learning for CTR Prediction in tensorflow

code of paper `Deep Neural Networks for Youtube Recommendation`

An on-line movie recommender using Spark, Python Flask, and the MovieLens dataset

neteasy music recommend system based on Surprise libaray and word2vec model using gensim library

Book recommender system using collaborative filtering based on Spark

A wine recommender system tutorial using Python technologies such as Django, Pandas, or Scikit-learn, and others such as Bootstrap.