cz studio's repositories
vLoong-competion
VLoong competition ： https://aistudio.baidu.com/aistudio/competition/detail/495
ADE20k_deeplab
Loading a pretrained model of image segmentation and print statistics of specific categories
Handwritten_Recognition_zh
手写中文字符识别
abnormal-traffic
IDS abnormal traffic detection tensorflow
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
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
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
GSAT_pro
[ICML 2022] Graph Stochastic Attention (GSAT) for interpretable and generalizable graph learning.
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.
LearningTensorflow
Simple demos for beginners of Tensorflow!
neural-enhance
Super Resolution for images using deep learning.
Paper-with-Code-of-Wireless-communication-Based-on-DL
无线与深度学习结合的论文代码整理/Paper-with-Code-of-Wireless-communication-Based-on-DL