Density Ratio Estimation via Infinitesimal Classification (AISTATS 2022 Oral)
☆22Mar 12, 2022Updated 4 years ago
Alternatives and similar repositories for dre-infinity
Users that are interested in dre-infinity are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆23Sep 24, 2021Updated 4 years ago
- Featurized Density Ratio Estimation☆20Jul 11, 2021Updated 4 years ago
- Noise Contrastive Estimation (NCE) in PyTorch☆32Mar 2, 2025Updated last year
- Official implementation of MINDE: Mutual Information Neural Diffusion Estimation☆23Apr 17, 2025Updated last year
- Simple Scalable Discrete Diffusion for text in PyTorch☆37Sep 27, 2024Updated last year
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- Some toy examples of score matching algorithms written in PyTorch☆56Dec 21, 2021Updated 4 years ago
- Implementation of a PyTorch Mutual Information Estimation Toolkit☆24Apr 5, 2024Updated 2 years ago
- Swirl.jl is an interactive learning platform for Julia that runs entirely in the console/terminal, inspired by the popular swirl package …☆29Nov 22, 2025Updated 6 months ago
- Implicit Generation and Generalization in Energy Based Models in PyTorch☆68Mar 25, 2019Updated 7 years ago
- ☆36Nov 13, 2020Updated 5 years ago
- Test-Time Label-Shift Adaptation☆13May 24, 2023Updated 3 years ago
- Code for "Training Deep Energy-Based Models with f-Divergence Minimization" ICML 2020☆38Mar 24, 2023Updated 3 years ago
- ☆26Aug 8, 2025Updated 9 months ago
- DifferentialEquations.jl with PyTorch☆11Oct 12, 2022Updated 3 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Tidier text analysis in Julia, modeled after the tidytext R package.☆19Mar 25, 2025Updated last year
- A new type of Table to store and simulate data for causal inference in Julia.☆17Mar 3, 2026Updated 2 months ago
- implement byol in cifar-10☆16May 9, 2022Updated 4 years ago
- Code for Colangelo and Lee (2025)☆17Feb 3, 2025Updated last year
- The Causal Rule Ensemble Method☆15Oct 20, 2024Updated last year
- Code for CLVision workshop (CVPR 2024) paper - Calibrating Higher-Order Statistics for Few-Shot Class-Incremental Learning with Pre-train…☆11Nov 12, 2024Updated last year
- ☆10Jun 12, 2021Updated 4 years ago
- [ICML 2022] Official implementation of "Score-Guided Intermediate Layer Optimization: Fast Langevin Mixing for Inverse Problems".☆12Jul 19, 2022Updated 3 years ago
- Code for Fast Information-theoretic Bayesian Optimisation☆16Jun 7, 2018Updated 7 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- A Julia package for random variables, some transformations and probabilities☆22Jan 2, 2023Updated 3 years ago
- Tight Mutual Information Estimation With Contrastive Fenchel-Legendre Optimization☆11Nov 29, 2022Updated 3 years ago
- A tutorial on learned non-adversarial invariance in neural networks☆14Dec 8, 2019Updated 6 years ago
- ☆54Jul 25, 2024Updated last year
- ☆24Dec 16, 2024Updated last year
- ☆17Mar 21, 2021Updated 5 years ago
- Code and pretrained models accompanying the paper "Ensembling geophysical models using Bayesian Neural Networks"☆10Jul 11, 2022Updated 3 years ago
- ☆42Jul 25, 2018Updated 7 years ago
- DiffClass: Diffusion-Based Class Incremental Learning☆12Sep 26, 2024Updated last year
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- PyTorch reimplementation of the DiracGAN proposed in the paper "Which Training Methods for GANs do actually Converge?" [ICML 2018].☆17Jul 12, 2021Updated 4 years ago
- Command line and webapp for retrosynthetic disconnections, molecular complexity and synthetic accessibility metrics☆17Aug 14, 2024Updated last year
- This repo is for reproducing our results in “Activation Maximization Generative Adversarial Nets”.☆11Sep 26, 2020Updated 5 years ago
- Using Low-rank adaptation to quickly fine-tune diffusion models.☆11Mar 14, 2023Updated 3 years ago
- ☆12Jun 14, 2025Updated 11 months ago
- Memory-Augmented Deep Unfolding Network for Compressive Sensing(ACMMM 2021)☆14Apr 1, 2022Updated 4 years ago
- customized GPflow with simple Tensorflow API☆17Aug 7, 2019Updated 6 years ago