mawanda-jun Goto Github PK

3d-mri-brain-features-classification-using-autoencoder-regularization

PyTorch arrangement of a brain features classification using VAE as regularization. Inspired by the paper "3D MRI brain tumor segmentation using autoencoder regularization" by Myronenko A. (https://arxiv.org/abs/1810.11654) and Suyog Jadhav's work.

aa_1819

A group of the script that has been made for the course of machine learning at the university of Padua.

alyn

Detect and fix skew in images containing text

bdc_assignments

brain_view

Study of implicit and explicit movement and how it is interpreted by a neural network

cvat

Annotate better with CVAT, the industry-leading data engine for machine learning. Used and trusted by teams at any scale, for data of any scale.

deepfakedetection

Implementation of the omonimous Kaggle Competition in PyTorch with MTCNN, InceptionResNetV1 and LSTM

docker-nsfmineroc

Docker container for Ethereum mining with CUDA (nsfminer) with Nvidia OC capabilities.

facenet-pytorch

Pretrained Pytorch face detection (MTCNN) and recognition (InceptionResnet) models

globalcomputingexam

googleuniversalimageembedding

hubmap-hpa-hacking-the-human-body

intelligentocr

An intelligent OCR to detect tables and pure text inside PDFs and obtaing a csv file and a txt from it

kalkrpg_oop_project

RPGItem calculator for Padua University IT course in C++.

marvin

mawanda-jun.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

mmdetection

OpenMMLab Detection Toolbox and Benchmark

mmrotate

OpenMMLab Rotated Object Detection Toolbox and Benchmark

mmsegmentation

OpenMMLab Semantic Segmentation Toolbox and Benchmark.

models

Models and examples built with TensorFlow

nolabels

TensorFlow eager implementation of the paper "Unsupervised Learning of Visual Representations by Solving Jigsaw Puzzles"

notes_sistemi_concorrenti_distribuiti

Appunti tratti dalle lezioni di Sistemi concorrenti e distribuiti seguite all'università di Padova nell'anno accademico 2018/2019 ed erogate dal professor Tullio Vardanega

numba

NumPy aware dynamic Python compiler using LLVM

rcan

PyTorch code for our ECCV 2018 paper "Image Super-Resolution Using Very Deep Residual Channel Attention Networks"

real-esrgan

Real-ESRGAN aims at developing Practical Algorithms for General Image Restoration.

rsna-breast-cancer-detection

sartorius_cell-instance-segmentation

segment-anything-fast

A batched offline inference oriented version of segment-anything

spiking-neural-network

Pure python implementation of SNN

steeldefectdetection

Implementation of the competition "Severstal: Steel Defect Detection" by Kaggle