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ebgan

A tensorflow implementation of Junbo et al's Energy-based generative adversarial network ( EBGAN ) paper.

ebgan-pytorch

A pytorch implementation of "Energy-based Generative Adversarial Network"

ebgan-pytorch-1

Pytorch implementation of EBGAN(arxiv:1609.03126)

ebm--generative-energy-based-modeling

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,

ebm-anatomy

PyTorch implementation of Algorithm 1 of "On the Anatomy of MCMC-Based Maximum Likelihood Learning of Energy-Based Models"

ebm-continual-learning

Energy-Based Models for Continual Learning Official Repository (PyTorch)

ebm-defense

PyTorch implementation of BPDA+EOT attack to evaluate adversarial defense with an EBM

ebm-life-cycle

Code for reproducing the experiments in our work "EBM Life Cycle: MCMC Strategies for Synthesis, Defense, and Density Modeling".

ebm-ood-detection

Code for our paper "On Out-of-distribution detection with Energy-based Models" accepted to the ICML 2021 Workshop on Uncertainty & Robustness in Deep Learning.

ebm-ood-detection-poster

ebm-torch

Energy-based models in PyTorch

ebm-wgan

WGANs as Energy-based models

ebm_code_release

Code for Implicit Generation and Generalization with Energy Based Models

ebm_compositionality

[NeurIPS'20] Code for the Paper Compositional Visual Generation and Inference with Energy Based Models

ebms_proposals

Official implementation of "Learning Proposals for Practical Energy-Based Regression", AISTATS 2022.

ebms_regression

Official implementation of "Energy-Based Models for Deep Probabilistic Regression" (ECCV 2020) and "How to Train Your Energy-Based Model for Regression" (BMVC 2020).

einops

Deep learning operations reinvented (for pytorch, tensorflow, jax and others)

electra-pytorch

A simple and working implementation of Electra, the fastest way to pretrain language models from scratch, in Pytorch

emlab-generation

EMlab/emlab-generation is a suite of Agent-Based Models of power generation, dealing with energy and carbon policy questions. There is focus on long-term developments.

energy-based-gan

EBGAN - Energy Based Generative Adversarial Network

energy_based_generative_models

PyTorch code accompanying our paper on Maximum Entropy Generators for Energy-Based Models

energy_ood

etsformer-pytorch

Implementation of ETSformer, state of the art time-series Transformer, in Pytorch

example_diffusion

Toy Diffusion/ Score Based Generative Model in Jax

experiment-templates

exploring_the_limits_of_ood_detection

Code to replicate the key results from Exploring the Limits of Out-of-Distribution Detection (https://arxiv.org/abs/2106.03004) by Stanislav Fort, Jie Ren, Balaji Lakshminarayanan, published at NeurIPS 2021.

f-dre

Featurized Density Ratio Estimation

f-ebm

Code for "Training Deep Energy-Based Models with f-Divergence Minimization" ICML 2020

f-gan

Experiments based on https://arxiv.org/abs/1810.02030

f-wgan

Code for "Bridging the Gap between f-GANs and Wasserstein GANs", ICML 2020