Energy Based Models are a quite novel technique for density estimation. In this university project I explore this new research topic and implement EBMs as generative models, comparing the results obtained with Maximum Likelihood estimation and Sliced Score Matching on MNIST and a toy 2D dataset,
☆15Jul 6, 2021Updated 4 years ago
Alternatives and similar repositories for EBM--Generative-Energy-Based-Modeling
Users that are interested in EBM--Generative-Energy-Based-Modeling are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆36Oct 20, 2020Updated 5 years ago
- Code for Residual Energy-Based Models for Text Generation in PyTorch.☆25Apr 27, 2021Updated 5 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
- Noise Contrastive Estimation (NCE) in PyTorch☆32Mar 2, 2025Updated last year
- NeurIPS'23: Energy Discrepancies: A Score-Independent Loss for Energy-Based Models☆17Oct 22, 2024Updated last year
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- 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
- Example code for the NNGeometry PyTorch library☆10Aug 20, 2025Updated 8 months ago
- ☆54Mar 17, 2021Updated 5 years ago
- qgpt-issue-31☆11Oct 31, 2024Updated last year
- Sentiment analysis from tweets using QNLP (Quantum Natural Language Processing)☆12Nov 25, 2021Updated 4 years ago
- Some toy examples of score matching algorithms written in PyTorch☆56Dec 21, 2021Updated 4 years ago
- Quantum Natural Language Processing (QNLP)'s project repository for Qiskit Hackathon Europe.☆16Sep 4, 2024Updated last year
- ☆13Jun 21, 2021Updated 4 years ago
- ☆64Feb 7, 2024Updated 2 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.
- Entropic Optimal Transport Benchmark (NeurIPS 2023).☆32Mar 21, 2024Updated 2 years ago
- Repository for development of end-to-end quantum enhanced Markov Chain Monte Carlo implementation☆20Sep 25, 2024Updated last year
- Official Release of "Learning the Stein Discrepancy for Training and Evaluating Energy-Based Models without Sampling"☆49Jul 8, 2020Updated 5 years ago
- ☆21Mar 15, 2023Updated 3 years ago
- ☆17Mar 2, 2023Updated 3 years ago
- Demo of diffusion models #DDPM applied to molecular dynamics of small peptide☆14Jan 26, 2024Updated 2 years ago
- Code for our paper "On Out-of-distribution detection with Energy-based Models" accepted to the ICML 2021 Workshop on Uncertainty & Robus…☆20Sep 30, 2021Updated 4 years ago
- Code for ECML/PKDD 2020 Paper --- Continual Learning with Knowledge Transfer for Sentiment Classification☆25Nov 19, 2021Updated 4 years ago
- Multiscale de-noising score matching☆20Feb 10, 2021Updated 5 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.
- [ICML'21] Improved Contrastive Divergence Training of Energy Based Models☆69Apr 8, 2022Updated 4 years ago
- ☆12Feb 14, 2022Updated 4 years ago
- Simple illustrative examples for energy-based models in PyTorch☆68Feb 12, 2020Updated 6 years ago
- Pytorch implementation of "Entropic Neural Optimal Transport via Diffusion Processes" (NeurIPS 2023, oral).☆43Mar 11, 2024Updated 2 years ago
- Pytorch version of "Deep Convolutional Networks as shallow Gaussian Processes" by Adrià Garriga-Alonso, Carl Rasmussen and Laurence Aitch…☆32Apr 16, 2020Updated 6 years ago
- Automatic code generator for training Reinforcement Learning policies☆11Jan 3, 2021Updated 5 years ago
- Graph transport network (GTN), as proposed in "Scalable Optimal Transport in High Dimensions for Graph Distances, Embedding Alignment, an…☆15Apr 26, 2023Updated 3 years ago
- Fast Topological Clustering with Wasserstein Distance (ICLR 2022)☆12Jun 24, 2022Updated 3 years ago
- Official Implementation of "C5T5: Controllable Generation of Organic Molecules with Transformers"☆23Dec 17, 2021Updated 4 years ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- ChebLieNet, a spectral graph neural network turned equivariant by Riemannian geometry on Lie groups.☆14Aug 20, 2024Updated last year
- Sequential planner for large text based environments☆12Dec 13, 2023Updated 2 years ago
- ☆25Aug 11, 2022Updated 3 years ago
- ☆19Mar 6, 2024Updated 2 years ago
- ☆15Feb 23, 2025Updated last year
- Applying Deep Reinforcement Learning for dialogue generation. aka chatbot☆13Apr 30, 2017Updated 9 years ago
- ☆22Mar 10, 2021Updated 5 years ago