[ICML'21] Improved Contrastive Divergence Training of Energy Based Models
☆69Apr 8, 2022Updated 4 years ago
Alternatives and similar repositories for improved_contrastive_divergence
Users that are interested in improved_contrastive_divergence are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- [NeurIPS'20] Code for the Paper Compositional Visual Generation and Inference with Energy Based Models☆47Mar 24, 2023Updated 3 years ago
- Energy-Based Models for Continual Learning Official Repository (PyTorch)☆45Sep 13, 2022Updated 3 years ago
- Code for Implicit Generation and Generalization with Energy Based Models☆363Apr 25, 2023Updated 3 years ago
- ☆64Feb 7, 2024Updated 2 years ago
- ☆54Mar 17, 2021Updated 5 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.
- [NeurIPS 2021] Code for Unsupervised Learning of Compositional Energy Concepts☆60Sep 21, 2022Updated 3 years ago
- [NeurIPS 2021 Spotlight] Learning to Compose Visual Relations☆101Apr 14, 2023Updated 3 years ago
- Official implementation of "Energy-Based Models for Deep Probabilistic Regression" (ECCV 2020) and "How to Train Your Energy-Based Model …☆105Aug 14, 2020Updated 5 years ago
- Energy Based Models are a quite novel technique for density estimation. In this university project I explore this new research topic and …☆16Jul 6, 2021Updated 5 years ago
- Noise Contrastive Estimation (NCE) in PyTorch☆33Jun 3, 2026Updated last month
- Pytorch implementation of DGflow (ICLR 2021).☆16Mar 3, 2021Updated 5 years ago
- Official release of code for "Oops I Took A Gradient: Scalable Sampling for Discrete Distributions"☆61Jul 4, 2023Updated 3 years ago
- Code for Understanding and Mitigating Exploding Inverses in Invertible Neural Networks (AISTATS 2021) http://arxiv.org/abs/2006.09347☆31Aug 29, 2020Updated 5 years ago
- ☆54Jul 25, 2024Updated last year
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- ICML 2023: Reduce, Reuse, Recycle: Composing Energy-Based Diffusion Models with MCMC☆151Oct 18, 2024Updated last year
- Implicit Deep Adaptive Design (iDAD): Policy-Based Experimental Design without Likelihoods☆25Dec 30, 2021Updated 4 years ago
- ☆18Dec 6, 2021Updated 4 years ago
- ☆36Oct 20, 2020Updated 5 years ago
- Official Release of "Learning the Stein Discrepancy for Training and Evaluating Energy-Based Models without Sampling"☆49Jul 8, 2020Updated 6 years ago
- PyTorch implementation of Algorithm 1 of "On the Anatomy of MCMC-Based Maximum Likelihood Learning of Energy-Based Models"☆39Jul 25, 2024Updated last year
- notebooks of cool EBM visualizations☆15Feb 12, 2021Updated 5 years ago
- Code for "Discovering Non-monotonic Autoregressive Orderings with Variational Inference" (paper and code updated from ICLR 2021)☆12Mar 7, 2024Updated 2 years ago
- Hybrid Discriminative-Generative Training via Contrastive Learning☆75May 1, 2023Updated 3 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- A minimalist implementation of score-based diffusion model☆130Aug 18, 2021Updated 4 years ago
- ☆50Oct 22, 2020Updated 5 years ago
- Nonlinear SVGD for Learning Diversified Mixture Models☆13Jan 23, 2019Updated 7 years ago
- [ICML 2025] Retraining-Free Merging of Sparse MoE via Hierarchical Clustering☆25Oct 26, 2025Updated 8 months ago
- ☆34Mar 13, 2022Updated 4 years ago
- Unofficial pytorch implementation of 'SelectiveNet: A Deep Neural Network with an Integrated Reject Option' [Geifman+, ICML2019]☆20Oct 5, 2021Updated 4 years ago
- Code for reproducing results in the sliced score matching paper (UAI 2019)☆152Jan 7, 2020Updated 6 years ago
- Implementation of the BASIS algorithm for source separation with deep generative priors☆42Mar 24, 2023Updated 3 years ago
- Official code for "Accelerating Feedforward Computation via Parallel Nonlinear Equation Solving", ICML 2021☆30Sep 25, 2021Updated 4 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- Code for the paper 'Neural Variational Gradient Descent'. We perform nonparametric variational inference by transporting samples along a …☆12Jul 29, 2021Updated 4 years ago
- ☆13Jul 25, 2023Updated 2 years ago
- Disseration for M.S. in Computer Science of class 2018 at HKU☆12Nov 15, 2017Updated 8 years ago
- ☆22Feb 4, 2025Updated last year
- [NeurIPS 2021] Self-Supervised GANs with Label Augmentation☆22Apr 27, 2023Updated 3 years ago
- Code for our paper "Generative Flow Networks for Discrete Probabilistic Modeling"☆85Feb 22, 2023Updated 3 years ago
- ☆21Apr 3, 2023Updated 3 years ago