Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R,...

TensorFlow code and pre-trained models for BERT

Library of deep learning models and datasets designed to make deep learning more accessible and a...

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。

李宏毅2021春季机器学习课程课件及作业

Using pure numpy to construct deep learning computational graph framework

Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk

李宏毅2021机器学习深度学习笔记PPT作业

Implementation of meta-tail2vec published in CIKM 2020 paper "Towards Locality-Aware Meta-Learnin...