PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf

Awesome Incremental Learning

An Incremental Learning, Continual Learning, and Life-Long Learning Repository

A Python library for dynamic classifier and ensemble selection

TensorFlow implementation of TabTransformer

《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被全球175所大学采用教学。

A project for processing neural networks and rendering to gain insights on the architecture and parameters of a model through a decluttered representation.

Computational Intelligence Toolkit

李宏毅《深度强化学习》笔记，在线阅读地址：https://datawhalechina.github.io/leedeeprl-notes/

pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行

CostSensitiveClassification Library in Python

ProfLogit: Profit maximizing logit model for churn prediction

Profit Driven Decision Trees for Churn Prediction

Implementations of various VAE-based semi-supervised and generative models in PyTorch

Cost-sensitive learning for profit-driven credit-scoring

谷歌全新开源人工智能系统TensorFlow官方文档中文版

The python implementation of tri-triaing

Theano implementation of Cost-Sensitive Deep Neural Networks

Resources and Implementations of Generative Adversarial Nets: GAN, DCGAN, WGAN, CGAN, InfoGAN

Multilayered iterational algorithm of the Group Method of Data Handling

Genetic algorithm plus cost sensitive neural network for bug prediction

Code for reproducing results of NIPS 2014 paper "Semi-Supervised Learning with Deep Generative Models"