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ai-learn

人工智能学习路线图，整理近200个实战案例与项目，免费提供配套教材，零基础入门，就业实战！包括：Python，数学，机器学习，数据分析，深度学习，计算机视觉，自然语言处理，PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-intelligence python tensorflow tensorflow2 caffe keras pytorch algorithm numpy pandas matplotlib seaborn nlp cv等热门领域

ailearning-theory-applying

快速上手Ai理论及应用实战：基础知识Basic knowledge、机器学习MachineLearning、深度学习DeepLearning2、自然语言处理BERT，持续更新中。含大量注释及数据集，力求每一位能看懂并复现。

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caffe

Caffe: a fast open framework for deep learning.

deeplizard-pytorch-

自己总结的DeepLizard的pytorch神经网络编程系列视频的笔记(非官方)

efficient_densenet_pytorch

A memory-efficient implementation of DenseNets

libsvm

pytorch-gan

PyTorch implementations of Generative Adversarial Networks.

pytorch-nested-unet

PyTorch implementation of UNet++ (Nested U-Net).

pytorch_medical_segmention_template

This is a pytorch project template about medical segmentation

tensorflow-vgg

VGG19 and VGG16 on Tensorflow

u-net

unet

unet for image segmentation

unet-family

Paper and implementation of UNet-related model.

yyg-seir-simulator

Underlying SEIR simulator for the YYG / covid19-projections.com model

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