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996.icu

Repo for counting stars and contributing. Press F to pay respect to glorious developers.

active-learning

active_learning_coreset

Source code for ICLR 2018 Paper: Active Learning for Convolutional Neural Networks: A Core-Set Approach

attngan

awesome-dataset-distillation

Awesome Dataset Distillation Papers

awesome-graph-neural-networks

Paper Lists for Graph Neural Networks

awesome-knowledge-distillation

Awesome Knowledge Distillation

awesome-masked-autoencoders

A collection of literature after or concurrent with Masked Autoencoder (MAE) (Kaiming He el al.).

awesome-pretrained-stylegan2

A collection of pre-trained StyleGAN 2 models to download

awesome-self-supervised-learning

A curated list of awesome self-supervised methods

awesome-text-to-image

A Survey on Text-to-Image Generation/Synthesis.

awesome-transformer-in-cv

A Survey on Transformer in CV.

awesome-video-diffusion

A curated list of recent diffusion models for video generation, editing, restoration, understanding, etc.

bayesian-coresets

Automated Scalable Bayesian Inference

bert

TensorFlow code and pre-trained models for BERT

biggan-pytorch

The author's officially unofficial PyTorch BigGAN implementation.

brain-segmentation

Deep learning based skull stripping and FLAIR abnormality segmentation in brain MRI using U-Net

brain-segmentation-pytorch

U-Net implementation in PyTorch for FLAIR abnormality segmentation in brain MRI

byol-pytorch

Usable Implementation of "Bootstrap Your Own Latent" self-supervised learning, from Deepmind, in Pytorch

c2l_miccai2020

capsnet-keras

A Keras implementation of CapsNet in NIPS2017 paper "Dynamic Routing Between Capsules". Now test error ＝ 0.34%.

capsnet-tensorflow

A Tensorflow implementation of CapsNet(Capsules Net) in Hinton's paper Dynamic Routing Between Capsules

celebamask-hq

A large-scale face dataset for face parsing, recognition, generation and editing.

chinamm2019uw

the main page of chinaMM2019-underwater

cleanlab

Find label errors in datasets, weak supervision, and learning with noisy labels.

cmc

"Contrastive Multiview Coding", "Momentum Contrast for Unsupervised Visual Representation Learning", and "Unsupervised Feature Learning via Non-Parametric Instance-level Discrimination"

coco-gan

COCO-GAN: Generation by Parts via Conditional Coordinating

conv_arithmetic

A technical report on convolution arithmetic in the context of deep learning

coursera-deep-learning-deeplearning.ai

（完结）网易云课堂微专业《深度学习工程师》听课笔记，编程作业和课后练习

cs-kd

Regularizing Class-wise Predictions via Self-knowledge Distillation (CVPR 2020)