ml-edu Goto Github PK

-auto-encoding-variational-bayes-aka-vae

A tensorflow implementation of Variational autoencoder. We present the results on real world datasets, namely; celebA and Mnist dataset.

abaw3

We achieved the 2nd and 3rd places in ABAW3 and ABAW5, respectively.

abiu-net

Boosting Salient Object Detection with Transformer-based Asymmetric Bilateral U-Net

accurate-image-super-resolution-using-very-deep-convolutional-networks

acm-net

The official repository of our paper "ACM-Net: Action Context Modeling Network for Weakly-Supervised Temporal Action Localization".

acol_pytorch

Adversarial Complementary Learning for Weakly Supervised Object Localization Pytorch reproducing

act

The implementation of "Enriched CNN-Transformer Feature Aggregation Networks for Super-Resolution" [WACV 2023].

action-units-heatmaps

Code for BMVC paper "Joint Action Unit localisation and intensity estimation through heatmap regression"

active-learning-bayesian-convolutional-neural-networks

Active Learning on Image Data using Bayesian ConvNets

adalabel

The code for paper "Diversifying Dialog Generation via Adaptive Label Smoothing" in ACL 2021.

ademfa

Facial expression recognition and face alignment in the wild.

adl

Attention-based Dropout Layer for Weakly Supervised Object Localization (CVPR 2019 Oral)

adsp_tutorials

Advanced Signal Processing Notebooks and Tutorials

adversarial-complementary-learning-for-weakly-supervised-object-localization

ACoL re-implementation by pytorch

afgic

Awesome Fine-Grained Image Classification

ageestimation

PyTorch Implementation of Mean-Variance Loss for age estimation.

albumentations

Fast image augmentation library and easy to use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about library: https://www.mdpi.com/2078-2489/11/2/125

amdim-public

Public repo for Augmented Multiscale Deep InfoMax representation learning

annotated_deep_learning_paper_implementations

🧑‍🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

apdlm

Training Deep Neural Networks via Direct Loss Minimization

approxmvbb

Fast algorithms to compute an approximation of the minimal volume oriented bounding box of a point cloud in 3D.

apvit

PaddlePaddle and PyTorch implementation of APViT and TransFER

aquvitae

Knowledge Distillation Toolkit

asap

AAAI 2020 - ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations

asl

Official Pytorch Implementation of: "Asymmetric Loss For Multi-Label Classification"(ICCV, 2021) paper

asm-loc

(CVPR2022) ASM-Loc: Action-aware Segment Modeling for Weakly-Supervised Temporal Action Localization

attention-gated-networks

Use of Attention Gates in a Convolutional Neural Network / Medical Image Classification and Segmentation

attentiondeepmil

Implementation of Attention-based Deep Multiple Instance Learning in PyTorch

aue-crl

augmentation-pytorch-transforms

Image data augmentation on-the-fly by add new class on transforms in PyTorch and torchvision.