model-learning
There are 24 repositories under model-learning topic.
DES-Lab/AALpy
An Automata Learning Library Written in Python
haozhg/odmd
AI4Science: Python/Matlab implementation of online and window dynamic mode decomposition (Online DMD and Window DMD)
assist-project/dtls-fuzzer
Protocol state machine learner and fuzzer for DTLS servers and clients
haozhg/oml
AI4Science: Efficient data-driven Online Model Learning (OML) / system identification and control
sisl/mechamodlearn
Structured framework for learning mechanical systems in PyTorch
TathagataChakraborti/survey-visualizer
Visualization of survey data.
haozhg/odmd-matlab
Matlab implementation of online and window dynamic mode decomposition algorithms
shbz80/model_learning
Code for the paper Data-efficient model learning and prediction for contact-rich manipulation tasks, RA-L, 2020
sherwinshen/pac_learn_RTAs
🔧 A prototype tool on learning real-time automata based on pac.
cpml-au/AlpineGP
Symbolic regression of physical models via Genetic Programming.
sherwinshen/TAs-learning-site
🏆 时间自动机模型学习工具站点（Timed Automata）
TimoBolkart/MultilinearMDL
The provided program jointly optimizes a multilinear face model and the registration of the face scans used for model training.
alspitz/issgpr
Incremental Sparse Spectrum Gaussian Process Regression
milahu/z3gi
Grammatical inference using the Z3 SMT solver
kausiksivakumar/TOM
Official implementation of L4DC 2023 paper Transition Occupancy Matching -Learning Policy-Aware Models for Model-Based Reinforcement Learning via Transition Occupancy Matching
TimoBolkart/RobustMultilinearModel
The provided program robustly learns a multilinear face model from databases with missing data, corrupt data, wrong semantic correspondence, and inaccurate vertex correspondence.
shbz80/model_learning_v2
Code for the paper Data-efficient model learning and prediction for contact-rich manipulation tasks, RA-L, 2020
sherwinshen/pac_learn_DOTAs
🔨 A prototype tool for learning DOTAs based on PAC.
Mesbah-Lab-UCB/Performance-Oriented-DNN-MPC
Performance-oriented model learning for control via multi-objective Bayesian optimization
sherwinshen/exact_learn_DOTAs
🔨 A prototype tool for learning DOTAs exactly.
sherwinshen/mut_learn_DOTAs
🔨 A prototype tool for learning DOTAs based on mutation testing.
Elblot/ASSESS
ASSESS is a passive model learning method for IoT device, that infers a system of LTSs (Labelled Transition Systems) from execution traces. Each LTS of the system will represent a different component of the device.
Muavia1/PsuedoCode-to-Code-Generation-using-Transformers-Architecture-using-PyTorch
PsuedoCode2Code is a transformer-based deep learning model that translates human-readable pseudocode into programming code. This project aims to assist developers, students, and educators by providing a structured way to convert psuedo code to c++ code.