mldl Goto Github PK

official-convmae-det

once-for-all

[ICLR 2020] Once for All: Train One Network and Specialize it for Efficient Deployment

once-for-all-adversarial-training

[NeurIPS 2020] "Once-for-All Adversarial Training: In-Situ Tradeoff between Robustness and Accuracy for Free" by Haotao Wang*, Tianlong Chen*, Shupeng Gui, Ting-Kuei Hu, Ji Liu, and Zhangyang Wang

one-model-to-reconstruct-them-all

Code for our Paper "One Model to Reconstruct Them All: A Novel Way to Use the Stochastic Noise in StyleGAN"

online-normalization

Online Normalization for Training Neural Networks (Companion Repository)

only_train_once

[ICLR 2023] OTOv2: Automatic, Generic, User-Friendly; [NeurIPS 2021] Only Train Once: A One-Shot Neural Network Training And Pruning Framework

oogan-pytorch

Pytorch implementation of the paper: OOGAN: Disentangling GAN with One-Hot Sampling and Orthogonal Regularization

open-aff

code and trained models for "Attentional Feature Fusion"

open-atac

code and trained models for "Attention as Activation"

opendl

屹立深度之巅

openpose

OpenPose: Real-time multi-person keypoint detection library for body, face, and hands estimation

opl

Official repository for "Orthogonal Projection Loss" (ICCV'21)

orepa_cvpr2022

CVPR 2022 "Online Convolutional Re-parameterization"

orthoreg

ostagram

overcomplete-deep-subspace-clustering

Official Tensorflow Code for the paper "Overcomplete Deep Subspace Clustering Networks" - WACV 2021

p-gnn

Position-aware Graph Neural Networks

p-reg

Rethinking Graph Regularization for Graph Neural Networks.

paddle

PArallel Distributed Deep LEarning

paddleclas

A treasure chest for image classification powered by PaddlePaddle

pade-activation-unit

PyTorch reimplementation of the paper "Padé Activation Units: End-to-end Learning of Flexible Activation Functions in Deep Networks" [ICLR 2020].

pairnorm

Source code for PairNorm (ICLR 2020)

pandas

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

pandas-cookbook

Recipes for using Python's pandas library

parallel-independent-blockwise-distillation

parametric-contrastive-learning

Parametric Contrastive Learning (ICCV2021)

passport-aware-normalization

pattern_classification

A collection of tutorials and examples for solving and understanding machine learning and pattern classification tasks

pau

Padé Activation Units: End-to-end Learning of Activation Functions in Deep Neural Network

pba

Efficient Learning of Augmentation Policy Schedules