indussky8 Goto Github PK

adab2n

Official Implementation of NeurIPS 2023 paper "Overcoming Recency Bias of Normalization Statistics in Continual Learning: Balance and Adaptation"

algorithm_interview_notes-chinese

2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记

as3

AS3 in ACM MM22

awesome-continual-learning

A paper list of our recent survey on continual learning, and other useful resources in this field.

awesome-few-shot-learning

A review for latest few-shot learning works

awesome-incremental-learning

Awesome Incremental Learning

awesome-pytorch-list

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

awesome-skeleton-based-action-recognition

Skeleton-based Action Recognition

awesome-zero-shot-learning

A curated list of papers, code and resources pertaining to zero shot learning

bdhehohai.github.io

bdhehohai的个人主页

cada-vae-pytorch

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

caf

caffe

Caffe: a fast open framework for deep learning.

chrono

High-performance C++ library for multiphysics and multibody dynamics simulations

clever

CLEVER (Cross-Lipschitz Extreme Value for nEtwork Robustness) is a robustness metric for deep neural networks

cleverhans

An adversarial example library for constructing attacks, building defenses, and benchmarking both

closerlookfewshot

source code to ICLR'19, 'A Closer Look at Few-shot Classification'

cnaps

Code for: "Fast and Flexible Multi-Task Classification Using Conditional Neural Adaptive Processes" and "TaskNorm: Rethinking Batch Normalization for Meta-Learning"

coscl

Official Implementation of CoSCL: Cooperation of Small Continual Learners is Stronger than a Big One (ECCV2022).

cpr_cl

The Official Code of CPR (ICLR 2021)

cvpr-2020-conf

data-augmentation-review

List of useful data augmentation resources. You will find here some not common techniques, libraries, links to github repos, papers and others.

data-subset-selection

data subset selection on video summarization data using message passing, sub-modular optimization and ADMM.

deep-kernel-transfer

Official pytorch implementation of the paper "Deep Kernel Transfer in Gaussian Processes for Few-shot Learning"

deepembeddingmodel_zsl-pytorch

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

deepfool

A simple and accurate method to fool deep neural networks

demo_prolfa

Demo for ProLFA on Synthetic Dataset

ead_attack

EAD: Elastic-Net Attacks to Deep Neural Networks via Adversarial Examples

embarrassingly-simple-zsl

This repository contains the code for the real data experiments presented in our paper “An embarrassingly simple approach to zero-shot learning”, presented at ICML 2015.

end-to-end-autonomous-driving

All you need for End-to-end Autonomous Driving