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abnormal-traffic

IDS abnormal traffic detection tensorflow

ade20k_deeplab

Loading a pretrained model of image segmentation and print statistics of specific categories

ailearning

AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP

alphapose-nb

Make alphapose more powerful

bottom-up-attention.pytorch

A PyTorch reimplementation of bottom-up-attention models

chinese-character-recognition

This project shows how to use CNN to perform Chinese character recognition, a much more complicated task compared to MNIST digit recognition.

coursera-ml-andrewng-notes

吴恩达老师的机器学习课程个人笔记

cvpr2022-nas-competition-track-2-1th-solution

Leaderboard B ranking 1

czkn

cz

czkn.github.io

data-analysis-of-tiger-teeth-live-broadcast

虎牙直播平台的数据分析统计和可视化

deeplab-ade20k-inference

Python program to visualize Deeplab (trained on ADE20K dataset) results.

deeplearning_ai_books

deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）

densepose-paddle

A reproduction of DensePose by PaddlePaddle

federated_learning

some projects based on FL

federatedscope

An easy-to-use federated learning platform

fedml

FedML - The federated learning and distributed training library enabling machine learning anywhere at any scale. It's backed by FedML, Inc (https://FedML.ai). Supporting large-scale geo-distributed training, cross-device federated learning on smartphones/IoTs, cross-silo federated learning on data silos, and research simulation. Best Paper Award at NeurIPS

free-programming-books

:books: Freely available programming books

free-programming-books-zh_cn

:books: 免费的计算机编程类中文书籍，欢迎投稿

gitskills

gsat_pro

[ICML 2022] Graph Stochastic Attention (GSAT) for interpretable and generalizable graph learning.

handwritten_recognition_zh

手写中文字符识别

intrusion-detection-system

I have tried some of the machine learning and deep learning algorithm for IDS 2017 dataset. The link for the dataset is here: http://www.unb.ca/cic/datasets/ids-2017.html. By keeping Monday as the training set and rest of the csv files as testing set, I tried one class SVM and deep CNN model to check how it works. Here the Monday dataset contains only normal data and rest of the days contains both normal and attacked data. Also, from the same university (UNB) for the Tor and Non Tor dataset, I tried K-means clustering and Stacked LSTM models in order to check the classification of multiple labels.

learngit

learningtensorflow

Simple demos for beginners of Tensorflow!

mk-tfjs

Play MK.js with TensorFlow.js

my_blog

我的博客

myfs

CIKM 2022 AnalytiCup Competition

networkclassification

neural-enhance

Super Resolution for images using deep learning.