Kaggle-Quora-Insincere-Questions-Classification

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

深度学习入门教程, 优秀文章, Deep Learning Tutorial

《李宏毅深度学习教程》（李宏毅老师推荐?，苹果书?），PDF下载地址：https://github.com/datawhalechina/leedl-tutorial/releases

Natural Language Processing Tutorial for Deep Learning Researchers

:gem: A curated list of awesome Competitive Programming, Algorithm and Data Structure resources

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

This repository contains demos I made with the Transformers library by HuggingFace.

PyTorch implementation of the U-Net for image semantic segmentation with high quality images

Pre-Training with Whole Word Masking for Chinese BERT（中文BERT-wwm系列模型）