tkarab

tkarab's Stars

• Ekeany/Siamese-Network-with-Triplet-Loss

  Language:Jupyter Notebook4814

• sonnguyen129/siamese-oneshot

  Tensorflow re-implementation of paper Siamese Neural Networks for One-shot Image Recognition

  Language:Jupyter Notebook6

• gabrielwong159/siamese

  One-shot learning for image classification using Siamese neural networks

  Language:Jupyter Notebook3512

• sorenbouma/keras-oneshot

  koch et al, Siamese Networks for one-shot learning, (mostly) reimplimented in keras

  Language:Jupyter Notebook374174

• tensorfreitas/Siamese-Networks-for-One-Shot-Learning

  Implementation of Siamese Neural Networks for One-shot Image Recognition

  Language:Python600180

• lamproskonstantellos/University-of-Patras-Thesis-Template-LaTeX

  This LaTeX template is designed for writing your Diploma Thesis in the Department of Electrical and Computer Engineering at the University of Patras. It's compatible with any LaTeX editor, but be sure to select the XeLaTeX compiler.

  Language:TeX2

• AnswerDotAI/gpu.cpp

  A lightweight library for portable low-level GPU computation using WebGPU.

  Language:C++3.7k175

• yinboc/few-shot-meta-baseline

  Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot Learning, in ICCV 2021

  Language:Python606107

• dragen1860/MAML-Pytorch

  Elegant PyTorch implementation of paper Model-Agnostic Meta-Learning (MAML)

  Language:Python2.3k419

• SpyrosKou/Plain-ROS-Java-System-Example

  A ROS system running completely on Java. No ROS installation required. The system includes a Java roscore, a Topic Publisher, a Topic Subscriber, a Service Server and a Service Client.

  Language:Java111

• DSIP-UPatras/PhyCS2018_paper

  An EMG-based gesture recognition

  Language:Python61

• manfredoatzori/PaWFE---Parallel-Window-Feature-Extraction

  Parallel signal feature extraction code. The code was originally written for sEMG, but it can be applied to other data arranged as multiple sequences of values (e.g. EEG).

  Language:MATLAB3915

• DSIP-UPatras/DSP_EMGDL_Chapter

  Deep Learning approaches for sEMG-based gesture recognition

  Language:Python1

• josephsdavid/semg_repro

  Language:Python295

• josephsdavid/attentionsemg

  Language:Python164

• xinzheli1217/learning-to-self-train

  Learning to Self-Train for Semi-Supervised Few-Shot

  Language:Python9311

• cloudconvert/cloudconvert-python

  Python SDK for the CloudConvert API

  Language:Python19342

• Jared-Gross/DXF-to-PNG-Converter

  Convert DXF files to PNG

  Language:Python83

• johannesboyne/node-dxf-to-png

  Transform a DXF into a PNG

  Language:JavaScript84

• DSIP-UPatras/sEMG-based-gesture-recognition-mgeorgoula

  Language:Python51

• parasgulati8/NinaPro-Helper-Library

  A helper library to perform essential manipulations on time-series EMG data of NinaPro DB2

  Language:Jupyter Notebook81

• kshatilov/emg-fsl

  Applying few-shot learning technique (FSL) to the classification of sEMG signal.

  Language:Python21

• QuackBeans/ACEnet

  A groundwork CNN trained using the Reptile meta learning framework from OpenAI. This project is focused on building a reliable few-shot recognition system for amputee patients sEMG signals, allowing for quick adaption to new bionic prosthetics.

  Language:Python1

• bumbu/svg-pan-zoom

  JavaScript library that enables panning and zooming of an SVG in an HTML document, with mouse events or custom JavaScript hooks

  Language:JavaScript1.7k390

• ststeiger/SvgConverter

  Convert dxf to SVG

  Language:C#3120

• PacktPublishing/Hands-On-Meta-Learning-with-Python

  Hands-On Meta Learning with Python

  Language:Jupyter Notebook7243

• tkarab/diplomaThesis

  Language:Jupyter Notebook1

• tsagkas/sEMG-HandGestureRecognition

  Hand Gesture Recognition via sEMG signals with CNNs (Electrical and Computer Engineering - MSc Thesis)

  Language:Python7915

• DSIP-UPatras/ICASSP2019_TCN

  Improved sEMG-based gesture recognition

  Language:Python5211

• barnrang/Prototypical-network-keras-reimplementation

  My course work to reimplement a paper

  Language:Jupyter Notebook157