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awesome-vision-attentions

Summary of related papers on visual attention

best_ai_papers_2021

A curated list of the latest breakthroughs in AI (in 2021) by release date with a clear video explanation, link to a more in-depth article, and code.

cbcl

class-incremental-learning

PyTorch implementation of AANets (CVPR 2021) and Mnemonics Training (CVPR 2020)

class-incremental-learning-1

continual_learning_papers

Relevant papers in Continual Learning

cvpr2021-paper-code-interpretation

cvpr2021/cvpr2020/cvpr2019/cvpr2018/cvpr2017 论文/代码/解读/直播合集，极市团队整理

cvpr22-fact

The code repository for "Forward Compatible Few-Shot Class-Incremental Learning" (CVPR22) in PyTorch.

d2l-zh

《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被全球200所大学采用教学。

deep-learning-for-causal-inference

Extensive tutorials for learning how to build deep learning models for causal inference using selection on observables in Tensorflow 2.

einops

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

f2m

fscil

Official repository for Few-Shot Class-Incremental Learning (FSCIL)

inc-few-shot-attractor-public

Code for Paper "Incremental Few-Shot Learning with Attention Attractor Networks"

meta-transfer-learning

TensorFlow and PyTorch implementation of "Meta-Transfer Learning for Few-Shot Learning" (CVPR2019)

ml4a-ofx

A collection of openFrameworks apps for working with machine learning

nispa

Neuro-Inspired Stability-Plasticity Adaptation for Sparse Continual Learning

relateanything

sdc-il

Semantic Drift Compensation for Class-Incremental Learning (CVPR2020)

top-10-cv-papers-2021

A curated list of the top 10 computer vision papers in 2021 with video demos, articles, code and paper reference.

xtarnet