ma921's Stars
sebtsh/Top-k-Ranking-Bayesian-Optimization
tennisonliu/LLAMBO
Official Repository for LLAMBO "Large Language Models to Enhance Bayesian Optimization"
ggerganov/llama.cpp
LLM inference in C/C++
langchain-ai/langchain
🦜🔗 Build context-aware reasoning applications
openai/tiktoken
tiktoken is a fast BPE tokeniser for use with OpenAI's models.
ChemFoundationModels/ChemLLMBench
What can Large Language Models do in chemistry? A comprehensive benchmark on eight tasks
Tim-Salzmann/l4casadi
Use PyTorch Models with CasADi for data-driven optimization or learning-based optimal control. Supports Acados.
Apress/Bayesian-optimization
Source Code for 'Bayesian Optimization' by Peng Liu
normal-computing/posteriors
Uncertainty quantification with PyTorch
yidingjiang/love
Code for the paper "Learning Options via Compression" at NeurIPS 2022
pyro-ppl/pyroed
Bayesian optimization of discrete sequences
kihyukh/aistats2023
Non-stationary Kernel Bandits
fusion-ml/OCBO
Offline Contextual Bayesian Optimization
cornellius-gp/linear_operator
A LinearOperator implementation to wrap the numerical nuts and bolts of GPyTorch
jejjohnson/uncertain_gps
Exploring how to to deal with uncertain inputs with gaussian process regression models.
datasig-ac-uk/signature_applications
Example applications of path signatures
LiuHaiTao01/SVSHGP
Stochastic variational heteroscedastic Gaussian process
EmuKit/emukit
A Python-based toolbox of various methods in decision making, uncertainty quantification and statistical emulation: multi-fidelity, experimental design, Bayesian optimisation, Bayesian quadrature, etc.
pybop-team/PyBOP
A parameterisation and optimisation package for battery models.
ma921/BASQ
(NeurIPS 2022) Fast Bayesian Inference with Batch Bayesian Quadrature via Kernel Recombination
ntienvu/ICDM2016_B3O
Released code for ICDM 2016 Budgeted Batch Bayesian Optimization
CoRiis/active-learning-fbgp
Bayesian Active Learning with Fully Bayesian Gaussian Processes
oteym/OptQuantMMD
Optimal Quantisation of Probabililty Measures Using Maximum Mean Discrepancy (Teymur et al. AISTATS 2021)
modusdatascience/choldate
Somewhat fast updating and downdating of Cholesky factors in Python
vgverdejo/AdaptiveSparseGP
Battery-Intelligence-Lab/BatteryOpportunity
Battery Opportunity Cost Minimisation
chariff/GPro
Python package for Preference Learning with Gaussian Processes.
MrHuff/PREF-SHAP
PREF-SHAP
spotify/annoy
Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk
Avidereta/risk-averse-hetero-bo
Risk-averse Heteroscedastic Bayesian Optimization, NeurIPS 2021