Discrete Bayesian optimization with LLMs, PEFT finetuning methods, and the Laplace approximation.
☆23Jul 30, 2024Updated last year
Alternatives and similar repositories for lapeft-bayesopt
Users that are interested in lapeft-bayesopt are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Efficient SDE samplers including Gaussian-based probabilistic solvers. Written in JAX.☆10Feb 8, 2025Updated last year
- iQRL: implicitly Quantized Representations for Sample-efficient Reinforcement Learning☆12Jan 8, 2025Updated last year
- ☆51Jul 25, 2024Updated last year
- Bayesian Neural Network Surrogates for Bayesian Optimization☆68May 9, 2024Updated last year
- Agustinus' very opiniated publication-ready plotting library☆72Mar 4, 2026Updated last month
- Serverless GPU API endpoints on Runpod - Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- Probabilistic numerical finite differences. Compute finite difference weights and differentiation matrices on scattered data sites and wi…☆12May 8, 2023Updated 2 years ago
- Convolutions and more as einsum for PyTorch☆18Jun 6, 2024Updated last year
- The code for NeurIPS 2023 paper DSR☆14Oct 8, 2023Updated 2 years ago
- Batch Multi-Fidelity Bayesian Optimization with Deep Auto-Regressive Networks☆12Nov 3, 2021Updated 4 years ago
- Code for the paper "Bounce: Reliable High-Dimensional Bayesian Optimization for Combinatorial and Mixed Spaces"☆15Apr 30, 2024Updated last year
- Yet another dynamic batch sampler for variable sequence data in PyTorch.☆13Dec 9, 2021Updated 4 years ago
- Bi-Level Optimization Augmented with Conditional Variational Autoencoder for Autonomous Driving in Dense Traffic☆16Jun 27, 2023Updated 2 years ago
- A package for computing matrix exponentials and finite horizon Gramians☆11Jan 21, 2026Updated 2 months ago
- Imshow - Flexible and Customizable Image Display with Python☆14Dec 27, 2025Updated 3 months ago
- Wordpress hosting with auto-scaling - Free Trial • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Implementation of the Pairformer model used in AlphaFold 3☆14Updated this week
- Code for Augment & Reduce, a scalable stochastic algorithm for large categorical distributions☆10May 16, 2018Updated 7 years ago
- Scripts and datasets to reproduce the experiment of the paper "Exploring non-coding RNA functions with deep learning tools"☆16Mar 24, 2021Updated 5 years ago
- Lightning-UQ-Box: Uncertainty Quantification for Neural Networks with PyTorch and Lightning☆219Updated this week
- Code for "The Expressive Power of Low-Rank Adaptation".☆20Apr 19, 2024Updated last year
- Tidy autoregressive inference in JAX☆15Sep 1, 2025Updated 7 months ago
- BONNI: Bayesian Optimization via Neural Network surrogates and Interior Point Optimization☆28Feb 20, 2026Updated last month
- ☆10Aug 26, 2022Updated 3 years ago
- Bayesian optimization with Standard Gaussian Processes on high dimensional benchmarks☆23Jun 29, 2025Updated 9 months ago
- Deploy open-source AI quickly and easily - Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- Jupyter notebooks from our weekly (or so) hackathons☆11Dec 3, 2024Updated last year
- Code for "Exponential Family Estimation via Adversarial Dynamics Embedding" (NeurIPS 2019)☆14Nov 26, 2019Updated 6 years ago
- Public repository for Machine Learning II course☆17May 23, 2025Updated 10 months ago
- Unofficial JAX implementation of the SOAP optimizer (https://arxiv.org/abs/2409.11321)☆25Jan 9, 2026Updated 3 months ago
- A framework for steering MoE models by detecting and controlling behavior-linked experts.☆32Sep 12, 2025Updated 7 months ago
- Source code for the paper Hierarchically Organized Latent Modules for Exploratory Search in Morphogenetic Systems☆14Dec 15, 2020Updated 5 years ago
- Baseline implementations on the MuMiN dataset☆10Oct 18, 2023Updated 2 years ago
- Benchmark for evaluating the generalization capabilities of Multi-Objective Reinforcement Learning (MORL) algorithms.☆26Jun 6, 2025Updated 10 months ago
- MARNNs Can Learn Generalized Dyck Languages☆12Nov 11, 2019Updated 6 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- ☆19Dec 10, 2024Updated last year
- ☆16Apr 26, 2023Updated 2 years ago
- Implementation of the paper "Meta-Learning by Adjusting Priors Based on Extended PAC-Bayes Theory", Ron Amit and Ron Meir, ICML 2018☆18Apr 13, 2021Updated 5 years ago
- Code for Semi-crowdsourced Clustering with Deep Generative Models☆12Dec 9, 2022Updated 3 years ago
- Code accompanying VarGrad: A Low-Variance Gradient Estimator for Variational Inference☆12Oct 12, 2020Updated 5 years ago
- ☆11Jul 25, 2021Updated 4 years ago
- Posterior with interesting shapes from actually used models☆13Feb 10, 2025Updated last year