Neonsign247's Stars
EdisonLeeeee/Awesome-Masked-Autoencoders
A collection of literature after or concurrent with Masked Autoencoder (MAE) (Kaiming He el al.).
megvii-research/mdistiller
The official implementation of [CVPR2022] Decoupled Knowledge Distillation https://arxiv.org/abs/2203.08679 and [ICCV2023] DOT: A Distillation-Oriented Trainer https://openaccess.thecvf.com/content/ICCV2023/papers/Zhao_DOT_A_Distillation-Oriented_Trainer_ICCV_2023_paper.pdf
m-kahla/Label-Only-Model-Inversion-Attacks-via-Boundary-Repulsion
cbh123/charl-e
Run Stable Diffusion on your M1 Mac
jakevdp/PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks
dair-ai/ML-YouTube-Courses
📺 Discover the latest machine learning / AI courses on YouTube.
google-deepmind/educational
google/edward2
A simple probabilistic programming language.
weiaicunzai/pytorch-cifar100
Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet, WideResNet)
huggingface/pytorch-image-models
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more
voxelmorph/voxelmorph
Unsupervised Learning for Image Registration
ydkim1293/NLNL-Negative-Learning-for-Noisy-Labels
NLNL: Negative Learning for Noisy Labels
weijiaheng/Advances-in-Label-Noise-Learning
A curated (most recent) list of resources for Learning with Noisy Labels
arghosh/noisy_label_pretrain
subeeshvasu/Awesome-Learning-with-Label-Noise
A curated list of resources for Learning with Noisy Labels
Beomi/cite.gg
🔍 우리가 읽을 논문을 찾아서, Cite.GG
facebookresearch/mae
PyTorch implementation of MAE https//arxiv.org/abs/2111.06377
lucidrains/vit-pytorch
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
bentrevett/pytorch-image-classification
Tutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision.
rwindsor1/biobank-self-supervised-alignment
Code for MICCAI 2021 submission 'Self-Supervised Multi-Modal Alignment For Whole Body Medical Imaging'
cresset-template/cresset
Template repository to build PyTorch projects from source on any version of PyTorch/CUDA/cuDNN.
diff-usion/Awesome-Diffusion-Models
A collection of resources and papers on Diffusion Models
naver-ai/calm
HarisIqbal88/PlotNeuralNet
Latex code for making neural networks diagrams
google-research/vision_transformer
openai/DALL-E
PyTorch package for the discrete VAE used for DALL·E.
coder/code-server
VS Code in the browser
jungwoo-ha/WeeklyArxivTalk
[Zoom & Facebook Live] Weekly AI Arxiv 시즌2
dvgodoy/dl-visuals
Over 200 figures and diagrams of the most popular deep learning architectures and layers FREE TO USE in your blog posts, slides, presentations, or papers.
KLUE-benchmark/KLUE
📖 Korean NLU Benchmark