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TU Wien - AIT
- Austria - France
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21:13
(UTC +01:00) - https://cedric-jung.eu
Highlights
- Pro
Stars
Magnificent app which corrects your previous console command.
TensorFlow code and pre-trained models for BERT
pix2tex: Using a ViT to convert images of equations into LaTeX code.
A unified framework for machine learning with time series
A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet…
Sequence modeling benchmarks and temporal convolutional networks
A PyTorch Library for Meta-learning Research
Code for "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"
💤 Kick devices off your network by performing an ARP Spoof attack.
Text to image synthesis using thought vectors
FSL-Mate: A collection of resources for few-shot learning (FSL).
Track emissions from Compute and recommend ways to reduce their impact on the environment.
Repository for few-shot learning machine learning projects
Python API for Tuya WiFi smart devices using a direct local area network (LAN) connection or the cloud (TuyaCloud API).
Ready-to-use code and tutorial notebooks to boost your way into few-shot learning for image classification.
PyTorch code for CVPR 2018 paper: Learning to Compare: Relation Network for Few-Shot Learning (Few-Shot Learning part)
Implementation of Prototypical Networks for Few Shot Learning (https://arxiv.org/abs/1703.05175) in Pytorch
LibFewShot: A Comprehensive Library for Few-shot Learning. TPAMI 2023.
InceptionTime: Finding AlexNet for Time Series Classification
ROCKET: Exceptionally fast and accurate time series classification using random convolutional kernels
The code repository for "Few-Shot Learning via Embedding Adaptation with Set-to-Set Functions"
MINIROCKET: A Very Fast (Almost) Deterministic Transform for Time Series Classification
Critical difference diagram with Wilcoxon-Holm post-hoc analysis.
pytorch implementation of Optimization as a Model for Few-shot Learning
Implements the special Tuya Home Assistant API.
[MedIA] Paper list and source code for survey "A comprehensive survey on deep active learning in medical image analysis"
Autonomous driving - car detection using the very powerful YOLO model