woodszp Goto Github PK

adargcn

adco

AdCo: Adversarial Contrast for Efficient Learning of Unsupervised Representations from Self-Trained Negative Adversaries

aecr-net

Contrastive Learning for Compact Single Image Dehazing, CVPR2021

alist

🗂️A file list/WebDAV program that supports multiple storages, powered by Gin and Solidjs. / 一个支持多存储的文件列表/WebDAV程序，使用 Gin 和 Solidjs。

aml

For replay to LibContinual

ampl-main

AMPL: An Adaptive Meta-Prompt Learner for Few-Shot Image Classification

auto-gpt

An experimental open-source attempt to make GPT-4 fully autonomous.

awesome-multimodal-large-language-models

:sparkles::sparkles:Latest Papers and Datasets on Multimodal Large Language Models, and Their Evaluation.

awesome-public-datasets

A topic-centric list of HQ open datasets.

awesomellm

🚀🚀🚀A collection of some awesome public projects about Large Language Model, Vision Foundation Model and AI Generated Content.

bbn

The official PyTorch implementation of paper BBN: Bilateral-Branch Network with Cumulative Learning for Long-Tailed Visual Recognition

booksource

《第一行代码 第2版》全书源代码

ccl

Code on Paper [CVPR2021]Distilling Audio-Visual Knowledge by Compositional Contrastive Learning

clam_cr

Code provided by Zhixin Bai

class-balanced-loss

Class-Balanced Loss Based on Effective Number of Samples. CVPR 2019

cocoapi

COCO API - Dataset @ http://cocodataset.org/

coloncancerrepo

Code provided by Chen Gan

crossdomainfewshot

Cross-Domain Few-Shot Classification via Learned Feature-Wise Transformation (ICLR 2020 spotlight)

dac

clustering

decord

An efficient video loader for deep learning with smart shuffling that's super easy to digest

deepembeddingmodel_zsl

Tensorflow code for CVPR 2017 paper: Learning a Deep Embedding Model for Zero-Shot Learning

deepemd

Code for paper "DeepEMD: Few-Shot Image Classification with Differentiable Earth Mover's Distance and Structured Classifiers", CVPR2020

deeplearning-models

A collection of various deep learning architectures, models, and tips

dmra_rgbd-sod

Code and Dataset for ICCV 2019 paper. "Depth-induced Multi-scale Recurrent Attention Network for Saliency Detection".

epeius

在原版的基础上修改了显示 Trojan 配置信息转换为订阅内容。使用该脚本，你可以方便地将 Trojan 配置信息使用在线配置转换到 Clash 或 Singbox 等工具中。

everything_at_once

This is the official implementation of "Everything at Once - Multi-modal Fusion Transformer for Video Retrieval". CVPR 2022

fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

fc100

FC100 for box project

few-shot

Repository for few-shot learning machine learning projects

few-shot-meta-baseline

Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot Learning, in ICCV 2021