Giovanni Cavallin
mawanda-jun
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Table recognition inside douments using neural networks
An intelligent OCR to detect tables and pure text inside PDFs and obtaing a csv file and a txt from it
Detect and fix skew in images containing text
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.
TensorFlow eager implementation of the paper "Unsupervised Learning of Visual Representations by Solving Jigsaw Puzzles"
Implementation for the TReNDS neuroimaging Kaggle Competition
Repositories
38PyTorch 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.
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
An intelligent OCR to detect tables and pure text inside PDFs and obtaing a csv file and a txt from it
When do we not need larger vision models?
Table recognition inside douments using neural networks
OpenMMLab Detection Toolbox and Benchmark
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.
A batched offline inference oriented version of segment-anything
OpenMMLab Rotated Object Detection Toolbox and Benchmark
No description provided.
Implementation of the omonimous Kaggle Competition in PyTorch with MTCNN, InceptionResNetV1 and LSTM
No description provided.
No description provided.
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OpenMMLab Semantic Segmentation Toolbox and Benchmark.
Models and examples built with TensorFlow
Unsupervised Semantic Segmentation by Contrasting Object Mask Proposals. [ICCV 2021]
Waymo Open Dataset
Docker container for Ethereum mining with CUDA (nsfminer) with Nvidia OC capabilities.
Real-ESRGAN aims at developing Practical Algorithms for General Image Restoration.
Detect and fix skew in images containing text
TensorFlow eager implementation of the paper "Unsupervised Learning of Visual Representations by Solving Jigsaw Puzzles"
PyTorch code for our ECCV 2018 paper "Image Super-Resolution Using Very Deep Residual Channel Attention Networks"
No description provided.
Implementation for the TReNDS neuroimaging Kaggle Competition
No description provided.
Implementation of the competition "Severstal: Steel Defect Detection" by Kaggle
Pure python implementation of SNN
Pretrained Pytorch face detection (MTCNN) and recognition (InceptionResnet) models
NumPy aware dynamic Python compiler using LLVM