bingjunguo

bingjunguo's Stars

• bingjunguo/AttacksDetectionChallenge

  identify fraud users based on their shell commands history

  1

• guy7145/AttacksDetectionChallenge

  identify fraud users based on their shell commands history

  Language:Python11

• JGuymont/vae-anomaly-detector

  Experiments on unsupervised anomaly detection using variational autoencoder. The variational autoencoder is implemented in Pytorch.

  Language:Python6719

• Michedev/VAE_anomaly_detection

  Language:Python19239

• tarekmuallim/Anomaly-Detection-using-Variational-Autoencoders

  Apply anomaly detection in images using variational deep autoencoders (deep learning techniques)

  Language:Jupyter Notebook204

• hwalsuklee/tensorflow-mnist-VAE

  Tensorflow implementation of variational auto-encoder for MNIST

  Language:Python492182

• ngailapdi/autoencoder

  Implementation of a convolutional auto-encoder in PyTorch

  Language:Python184

• FlorisHoogenboom/som-anomaly-detector

  Implementation of Kohonen SOM for anomaly detection purposes.

  Language:Python2715

• zhulintao/CodingInterviewChinese2

  《剑指Offer》第二版源代码（Clone from: https://github.com/zhedahht/CodingInterviewChinese2）

  Language:C++583193

• apachecn/ailearning

  AiLearning：数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2

  Language:Python39.3k11.4k

• lawlite19/DeepLearning_Python

  Deep Learning--深度学习

  Language:HTML14275

• zergtant/pytorch-handbook

  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

  Language:Jupyter Notebook20.2k5.4k

• amanahuja/adaptive_resonance_networks

  Pedagogical implementations of Adaptive Resonance Theory Neural Networks

  Language:Jupyter Notebook136