lizq66's repositories
LLM4SE
Large Language Models for Software Engineering
ReliableLM4Code
Collections of research, benchmarks and tools towards more robust and reliable language models for code; LM4Code; LM4SE; reliable LLM
examples
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
clusterdata
cluster data collected from production clusters in Alibaba for cluster management research
DeepSpeed
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
tpot
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
optuna
A hyperparameter optimization framework
decision-forests
A collection of state-of-the-art algorithms for the training, serving and interpretation of Decision Forest models in Keras.
hyperopt
Distributed Asynchronous Hyperparameter Optimization in Python
auto-sklearn
Automated Machine Learning with scikit-learn
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)
AIBugHunter
AIBugHunter: A Practical Tool for Predicting, Classifying and Repairing Software Vulnerabilities
DeepClustering
Methods and Implements of Deep Clustering
cvik-toolbox
CVIK is a Toolbox for the automatic determination of the number of clusters on data clustering problems
cnn-lstm-bilstm-deepcnn-clstm-in-pytorch
In PyTorch Learing Neural Networks Likes CNN、BiLSTM
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.
awesome-vulnerability-assessment
An ever-growing list of resources for data-driven vulnerability assessment and prioritization
gnn-model-explainer
gnn explainer
DEKM-Pytorch
A convenient "DEKM" implemented in PyTorch
CLBI
Code Line-level Bugginess Identification
talos
Hyperparameter Optimization for TensorFlow, Keras and PyTorch
deepdow
Portfolio optimization with deep learning.
cluster-data
Borg cluster traces from Google
node2defect
Supplementary code and data of the paper Evaluating network embedding techniques' performances in software bug prediction
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.
ParameterTuning
Tuning of parameters of ML algorithms to optimise precision/f-score for fault detection in softwares
sbse14
search-based software engineering