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a-boundary-based-out-of-distribution-classifier-for-generalized-zero-shot-learning

adn

ADN: Artifact Disentanglement Network for Unsupervised Metal Artifact Reduction

adversarial-feature-hallucination-networks-for-few-shot-learning

Computer Vision Final Project. Implementation of Paper "Adversarial Feature Hallucination Networks for Few-Shot Learning".

ae_bakeoff

The Great Autoencoder Bake Off

ae_vae

Reimplementation of VAE by Python. The paper is" Auto-encoding variational bayes".

agzsl

awesome-text2sql

Curated tutorials and resources for Large Language Models, Text2SQL, and more.

biam

[ICCV 2021] Official Pytorch implementation for Discriminative Region-based Multi-Label Zero-Shot Learning SOTA results on NUS-WIDE and OpenImages

cada-vae-pytorch

Official implementation of the paper "Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders" (CVPR 2019)

cdfsl-benchmark

(ECCV 2020) Cross-Domain Few-Shot Learning Benchmarking System

ce-gzsl

Codes for the CVPR 2021 paper: Contrastive Embedding for Generalized Zero-Shot Learning

chuanhuchatgpt

GUI for ChatGPT API and many LLMs. Supports agents, file-based QA, GPT finetuning and query with web search. All with a neat UI.

comet

[ICLR 2021] Concept Learners for Few-Shot Learning

conceptwhitening

cosmo

Code for our paper "Adaptive Confidence Smoothing for Generalized Zero-Shot Learning"

counterfactual_generative_networks

[ICLR'21] Counterfactual Generative Networks

cvczsl

PyTorch Implementation for ICCV19 paper "Rethinking Zero-Shot Learning: A Conditional Visual Classification Perspective"

cvf-sid_pytorch

cxr-ml-gzsl

dal

Domain agnostic learning with disentangled representations

db-gpt

Revolutionizing Database Interactions with Private LLM Technology

deltaencoder

This is the tensorflow implementation for the paper "Delta-encoder: an effective sample synthesis method for few-shot object recognition" https://arxiv.org/abs/1806.04734

diagonalgan

Pytorch Implementation of "Diagonal Attention and Style-based GAN for Content-Style disentanglement in image generation and translation" (ICCV 2021)

disentanglement_lib

disentanglement_lib is an open-source library for research on learning disentangled representations.

dissect

DISSECT: Disentangled Simultaneous Explanations via Concept Traversals

dockertarbuilder

它是一个工作流。可快速构建指定架构/平台的docker镜像

drit

Learning diverse image-to-image translation from unpaired data

drlie

The code for “DRLIE: Unsupervised Domain-Specific Low-Light Image Enhancement via Disentangled Representations”

dvbe

explanation_by_progressive_exaggeration

Explanation by Progressive Exaggeration