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3dfuse

Official implementation of "Let 2D Diffusion Model Know 3D-Consistency for Robust Text-to-3D Generation"

3dgp

3D generation on ImageNet [ICLR 2023]

a-nice-mc

Code for "A-NICE-MC: Adversarial Training for MCMC"

ac-gan

A tensorflow implementation of google's AC-GAN ( Auxiliary Classifier GAN ).

accelerate

🚀 A simple way to train and use PyTorch models with multi-GPU, TPU, mixed-precision

ada-hessian

Easy-to-use AdaHessian optimizer (PyTorch)

adahessian

ADAHESSIAN: An Adaptive Second Order Optimizer for Machine Learning

ade-code

adp

Implementation of "Adversarial purification with Score-based generative models", ICML 2021

adversarialconsistentscorematching

Code for paper "Adversarial score matching and improved sampling for image generation"

adversaries_to_ood_detection

advlatgan

Official implementation of NeurIPS 2022 Spotlight paper "Improving Generative Adversarial Networks via Adversarial Learning in Latent Space".

ai-recommendersystem

该仓库尝试整理推荐系统领域的一些经典算法模型

amortized-svgd-gan

Learning to draw samples: with application to amortized maximum likelihood estimator for generative adversarial learning

analysis-by-synthesis

Analysis by Synthesis — reimplemented

analytic-dpm

annealed_flow_transport

anode

[IJCAI'19, NeurIPS'19] Anode: Unconditionally Accurate Memory-Efficient Gradients for Neural ODEs

anomaly-detection-using-sbm

Final project code of dgm-bo, Fall 2021

ass_data

ass data

async_re-openmm

Asynchronous Replica Exchange Framework for Parallel Computing with the OpenMM engine

autoregressive-modeling-with-distribution-smoothing

awesome-cv

:page_facing_up: Awesome CV is LaTeX template for your outstanding job application

awesome-demos

links and status of cool gradio demos

awesome-ebm

Collecting research materials on EBM/EBL (Energy Based Models, Energy Based Learning)

awesome-pretrained-stylegan

A collection of pre-trained StyleGAN models to download

awgf

Codes for "Understanding and Accelerating Particle-Based Variational Inference" (ICML-19)

basis-separation

Implementation of the BASIS algorithm for source separation with deep generative priors

bayesgan

Tensorflow code for the Bayesian GAN (https://arxiv.org/abs/1705.09558) (NIPS 2017)

bcd-nets

Code for `BCD Nets: Scalable Variational Approaches for Bayesian Causal Discovery`, Neurips 2021