阿水的数据竞赛开源分支

unet for image segmentation

A tiny 1000 line LLVM-based numeric specializer for scientific Python code.

Keras- Multi Label Image Classification

[NeurIPS 2020] This project provides a strong single-stage baseline for Long-Tailed Classification, Detection, and Instance Segmentation (LVIS). It is also a PyTorch implementation of the NeurIPS 2020 paper 'Long-Tailed Classification by Keeping the Good and Removing the Bad Momentum Causal Effect'.

Jupyter for Visual Studio Code

Tensor methods in Python with TensorLy

Plain python implementations of basic machine learning algorithms

BERT-NER (nert-bert) with google bert https://github.com/google-research.

Best Practices and Style Guides in BEEVA

Notebook example of how to generate class visualizations with Caffe

Code / solutions for Mathematics for Machine Learning (MML Book)

Jupyter notebook with Pytorch implementation of Neural Ordinary Differential Equations

A two stage lightweight and high performance license plate recognition in MTCNN and LPRNet

[CVPR 2021] Official PyTorch implementation for Transformer Interpretability Beyond Attention Visualization, a novel method to visualize classifications by Transformer based networks.

iPython notebook and pre-trained model that shows how to build deep Autoencoder in Keras for Anomaly Detection in credit card transactions data

This is a kaggle challenge project called Display Advertising Challenge by CriteoLabs at 2014.这是2014年由CriteoLabs在kaggle上发起的广告点击率预估挑战项目。

Code for the Deep Learning with PyTorch lesson

Repository for code used in my blog posts