KonstantinosBarmpas
Ph.D. Student in Machine Learning @ImperialCollegeLondon | ML Engineer @ Cogitat.io | MEng Graduate ETH Zürich-Imperial College London
Imperial College LondonLondon, United Kingdom
KonstantinosBarmpas's Stars
TheMouseTeam/Hara_App
Hara App: A Covid19 Demo App The Mouse Team. Author: Konstantinos Barmpas
TheMouseTeam/Eleftheria_App
Eleftheria App: COVID-19 Vaccination Program of Greece (Hellenic Republic) The Mouse Team. Author: Konstantinos Barmpas
TheMouseTeam/NoteMe
NoteMe: Quick and Simple Notes The Mouse Team. Author: Konstantinos Barmpas
TheMouseTeam/BudgetMe
BugdetMe: Simple and Smart Budget Planner The Mouse Team. Author: Konstantinos Barmpas
TheMouseTeam/HashMe
HashMe: Secure Email Text Encryption. The Mouse Team. Author: Konstantinos Barmpas
TheMouseTeam/UpliftMe
UpliftMe: Enhance Your Life. The Mouse Team. Author: Konstantinos Barmpas
dmlc/dgl
Python package built to ease deep learning on graph, on top of existing DL frameworks.
tkipf/pygcn
Graph Convolutional Networks in PyTorch
SuperBruceJia/EEG-DL
A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.
NYUMedML/GNN_for_EHR
Code for "Graph Neural Network on Electronic Health Records for Predicting Alzheimer’s Disease"
JeanKossaifi/tensorly-notebooks
Tensor methods in Python with TensorLy
VITA-Group/TransGAN
[NeurIPS‘2021] "TransGAN: Two Pure Transformers Can Make One Strong GAN, and That Can Scale Up", Yifan Jiang, Shiyu Chang, Zhangyang Wang
shafaypro/CrackingMachineLearningInterview
A repository to prepare you for your machine learning interview, involving most of the questions asked by all the tech giants and local companies. Do this to Ace your Machine Learning Engineer Interviews
apple/ml-hypersim
Hypersim: A Photorealistic Synthetic Dataset for Holistic Indoor Scene Understanding
werner-duvaud/muzero-general
MuZero
google-deepmind/deepmind-research
This repository contains implementations and illustrative code to accompany DeepMind publications
gbouritsas/Neural3DMM
Official repository for the ICCV 2019 paper "Neural 3D Morphable Models: Spiral Convolutional Networks for 3D Shape Representation Learning and Generation"
liuzechun/Bi-Real-net
Bi-Real Net: Enhancing the Performance of 1-bit CNNs With Improved Representational Capability and Advanced Training Algorithm. In ECCV 2018 and IJCV
brais-martinez/real2binary
Code for the ICLR2020 "Training Binary Neural Networks with Real-to-Binary Convolutions
allenai/XNOR-Net
ImageNet classification using binary Convolutional Neural Networks
legolas123/cv-tricks.com
Repository for all the tutorials and codes shared at cv-tricks.com
itayhubara/BinaryNet
Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1
MatthieuCourbariaux/BinaryNet
Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1
jiecaoyu/XNOR-Net-PyTorch
PyTorch Implementation of XNOR-Net
sw-gong/spiralnet_plus
SpiralNet++: A Fast and Highly Efficient Mesh Convolution Operator (ICCV-W 2019)
dkulon/hand-reconstruction
Single Image 3D Hand Reconstruction with Mesh Convolutions