hgrPPPH's Stars
skulai/MedilabDiseasePrediction
App which uses machine learning algorithms to predict the probability of diseases
davehull/body-ugid-dist
A Python script that parses the contents of an fls bodyfile (see The Sleuth Kit) and outputs the distribution of u/gids per directory. This has been useful for finding malicious code that an attacker has placed on a Linux host while neglecting to change u/gids to match "normal" values for the given directory.
CVxTz/graph_classification
Learning from graph data using Keras
Avik-Jain/100-Days-Of-ML-Code
100 Days of ML Coding
srtk88/Machine-learning-algorithms-for-detecting-network-attacks-with-UNSW-NB15-data-set
Due to the increasingly development of network technology recently, there are various cyber-attacks posed the huge threats to different fields around the world. Many studies and researches about cyber-security are carried out by experts in order to construct a safe network environment for people. The aim of the work is to build the detection models for classifying the attack data. Hence, we applied the UNSW-NB15 network data set which combines both normal and modern low-level attacks because we would like to create the experimental scenario close to the real world. Two classifiers are logistic regression and decision tree model for binary classification in the work. The deployed technique for decision tree achieved the highest result with 99.99% of testing accuracy compare to the 78.15% of logistic regression classifier. On the other hand, the KNN model is used for categorizing the multi-class in the project, and the averaged accuracy for testing is around 23% for ten categories classification.
MaxTitkov/Keras_InceptionV3_Binary_classification
Keras implementation of InceptionV3 convolutional neural network in solving binary classification problems
ThilinaRajapakse/simpletransformers
Transformers for Information Retrieval, Text Classification, NER, QA, Language Modelling, Language Generation, T5, Multi-Modal, and Conversational AI
apachecn/ailearning
AiLearning:数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2
xiaomangui/LBP-DBN-face-recognition
使用LBP特征提取算法提取人脸特征,DBN网络来实现人脸识别,测试数据库ORL数据库,识别率可达90%以上