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aw1-al-week02

bgscnn

Background subtraction using deep learning method.

course-materials

Study material (slides, documents, etc) for the "Web Applications I" and "Applicazioni Web I" courses (Politecnico di Torino, 2020/2021)

cvpr19_incremental_learning

Learning a Unified Classifier Incrementally via Rebalancing

dann_py3

python 3 pytorch implementation of DANN

devscover-youtube

Tutorials For YouTube

dlwpt-code

Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.

fnetcompression

homework2-caltech101

homework2-mldl

homework3-pacs

icarl

icarl.pytorch

icarl1

PyTorch Implementation of iCaRL

image-super-resolution

🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.

lab1-node

Lab # 1 - Getting started with Node.js

libbgs

Background Subtraction Library

lit-element-chartjs-ledokx

Created with StackBlitz ⚡️

max-image-resolution-enhancer

Upscale an image by a factor of 4, while generating photo-realistic details.

models

Models and examples built with TensorFlow

neural-enhance

Super Resolution for images using deep learning.

oncodash

Clinical oncology tumor board decision support system made by the Decider project.

oop

Spare material and code bites from Object Oriented Programming @ Politecnico di Torino

opencv_simpledemos

Simple demos to help you explore OpenCV

pool_ai

I created an AI to play pool, and here it is

predicting_winning_teams

This is the code for "Predicting the Winning Team with Machine Learning" by Siraj Raval on Youtube

project-il

Incremental Learning Project MLDL

survey-manager

transformers-for-natural-language-processing

Transformers for Natural Language Processing, published by Packt

vision

Datasets, Transforms and Models specific to Computer Vision