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aibughunter

AIBugHunter: A Practical Tool for Predicting, Classifying and Repairing Software Vulnerabilities

auto-sklearn

Automated Machine Learning with scikit-learn

awesome-vulnerability-assessment

An ever-growing list of resources for data-driven vulnerability assessment and prioritization

cluster-data

Borg cluster traces from Google

clusterdata

cluster data collected from production clusters in Alibaba for cluster management research

clusteringdirectioncentrality

A novel Clustering algorithm by measuring Direction Centrality (CDC) locally. It adopts a density-independent metric based on the distribution of K-nearest neighbors (KNNs) to distinguish between internal and boundary points. The boundary points generate enclosed cages to bind the connections of internal points.

cnn-lstm-bilstm-deepcnn-clstm-in-pytorch

In PyTorch Learing Neural Networks Likes CNN、BiLSTM

cvik-toolbox

CVIK is a Toolbox for the automatic determination of the number of clusters on data clustering problems

decision-forests

A collection of state-of-the-art algorithms for the training, serving and interpretation of Decision Forest models in Keras.

deepclustering

Methods and Implements of Deep Clustering

deepdow

Portfolio optimization with deep learning.

deepspeed

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

dekm-pytorch

A convenient "DEKM" implemented in PyTorch

evocluster

evolopy-fs

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

gnn-model-explainer

gnn explainer

hyperopt

Distributed Asynchronous Hyperparameter Optimization in Python

issta21-jit-dp

This repo illustrates how to evaluate the artifacts in the paper Deep Just-in-Time Defect Prediction: How Far Are We? published in ISSTA'21.

large-defect-prediction-benchmark

llm4se

Large Language Models for Software Engineering

musdp

Unsupervised Software Defect Prediction through Multi-view Clustering

node2defect

Supplementary code and data of the paper Evaluating network embedding techniques' performances in software bug prediction

optuna

A hyperparameter optimization framework

parametertuning

Tuning of parameters of ML algorithms to optimise precision/f-score for fault detection in softwares

reliablelm4code

Collections of research, benchmarks and tools towards more robust and reliable language models for code; LM4Code; LM4SE; reliable LLM

sbse14

search-based software engineering

scikit-opt

Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune Algorithm, Artificial Fish Swarm Algorithm, Differential Evolution and TSP(Traveling salesman)

talos

Hyperparameter Optimization for TensorFlow, Keras and PyTorch

tpot

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.