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shengsheng Liu's Projects

adversarial icon adversarial

Code and hyperparameters for the paper "Generative Adversarial Networks"

awesome-python icon awesome-python

A curated list of awesome Python frameworks, libraries, software and resources

ddsp icon ddsp

DDSP: Differentiable Digital Signal Processing

machine-learning_deep-learning-manual icon machine-learning_deep-learning-manual

《机器学习及深度学习笔记》是我们的机器学习培训教材,主要面向算法和数据挖掘方向。其中包含了基础数学知识、算法原理及推导、调包实现、手推实现等内容~同样也是包括了文档以及jupyter notebook脚本实现(具体到每一张图片)

python_script-manual icon python_script-manual

《Python工具代码速查手册》是我们的python培训教材,主要面向数据分析方向。其中包含了python的常用总结性操作,使用jupyter notebook,利用markdown和script结果对常用操作进行总结,包括了使用方式和脚本。之所以使用notebook形式是可以方便大家编辑,方便大家形成自己的总结笔记。当然各位有更好的操作建议也欢迎向我们团队分享~

pytorch-gan icon pytorch-gan

PyTorch implementations of Generative Adversarial Networks.

scnn icon scnn

Segment-CNN: A Framework for Temporal Action Localization in Untrimmed Videos via Multi-stage CNNs

tensornetwork icon tensornetwork

A library for easy and efficient manipulation of tensor networks.

triple-gan icon triple-gan

Triple-GAN: a unified framework for classification and class-conditional generation in semi-supervised learing

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