Timisoara Deep Learning Meetup

Intro

Timisoara Deep Learning Meetup

This is a group for anyone interested in deep learning algorithms. We're trying to create a community so that sharing knowledge and passion for deep learning is possible.

If you want to attend our meetups, please sign up here.

Links & Resources

• Meetup page: link
• Facebook group: link
• Team: Robert Maria (email), Virgil Petcu (email), Vlad-Adrian Ilie (email), Claudiu Leoveanu (email)

Meetups

M#	Date	Venue	Topic	Resources	Meetup.com	Recording
M40	2022-03-16	Zoom	Scientific Machine Learning	content	link	link
M39	2021-09-23	Zoom	An Introduction to Quantum Computing and Applied Learning	content	link	link
M38	2021-07-21	Zoom	Accelerating model retraining using coresets & Scoliosis X-ray analysis using DL	content	link	link
M37	2021-07-07	Zoom	Introduction to Graph Neural Networks	content	link	link
M36	2021-04-15	Zoom	Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks	content	link	link
M35	2020-12-15	Zoom	NeurIPS meetup #2: Beyond Backpropagation		link	link
M34	2020-12-10	Zoom	NeurIPS meetup #1: Representation/Relational Learning		link	link
M33	2020-11-20	Zoom	Estimating causal effects using NADEs	content	link	link
M32	2020-11-05	Zoom	Autoencoders and Variational Autoencoders	content	link	link
M31	2020-09-24	Zoom	Introduction to Deep Generative Models	content	link	link
M30	2020-06-25	Zoom	Deploying your neural network in the cloud. How to scale your model.	content	link
M29	2020-05-29	Zoom	Natural Language Processing: from word embeddings to transformers	content	link
M28	2020-04-21	Zoom	Visualization and Understanding of DNNs	content	link
M27	2020-03-06	Devplant Cowork	Towards an Argument Search Engine for the Web	content	link
M26	2019-12-15	Devplant Cowork	NeurIPS Workshop: Bayesian Deep Learning	content	link
M25	2019-12-13	Devplant Cowork	NeurIPS Tutorial: Deep Learning with Bayesian Principles	content	link
M24	2019-12-12	Devplant Cowork	NeurIPS Tutorial: Machine Learning for Computational Biology and Health	content	link
M23	2019-12-11	Devplant Cowork	NeurIPS Tutorial: Efficient Processing of Deep Neural Network	content	link
M22	2019-09-07	Ambasada	Machine Learning Applications in Healthcare	content	link
M21	2019-05-27	Cowork - The Garden	Introduction to Adversarial Robustness	content	link
M20	2019-03-20	Cowork - The Garden	Extreme Gradient Boosting & Creating your Recommender System using Embeddings	content	link
M19	2019-02-23	Amfiteatrul D1 Electro	Timisoara Machine Learning Workshop	content event page	link
M18	2019-01-22	Devplant Cowork	OpenVINO & Neural Compute Stick 2	content	link
M17	2018-11-28	Ness HQ, UBC 2	YOLO: an algorithm for fast object detection	content	link
M16	2018-10-13	Startup Hub	Joint Face Detection and Alignment using Multi-task Cascaded CNNs	content	link
M15	2018-10-10	Cowork - Tineretului	fast.ai Live - Practical Deep Learning For Coders	content	link
M14	2018-09-14	Startup Hub	Meetup with Corina Gurau from Oxford Robotics Institute	content	link
M13	2018-09-08	Startup Hub	Building a CNN using IBM Watson	content	link
M12	2018-06-21	Startup Hub	"Zoom in, enhance!" in real-life : super-resolution with deep learning	content	link
M11	2018-06-02	Startup Hub	Hands on Deep Learning: from the first classifier to neural style transfer (III)	content	link
M10	2018-03-17	Startup Hub	Hands on Deep Learning: from the first classifier to neural style transfer (II)	content	link
M09	2018-03-03	Startup Hub	Hands on Deep Learning: from the first classifier to neural style transfer	content	link
M08	2018-02-01	Cowork - Tineretului	Long short-term memory Networks (LSTMs)	content	link
M07	2018-01-25	Cowork - Tineretului	Conditional GANs and Project Magenta	content	link
M06	2017-12-21	Cowork - Tineretului	Presentation of Generative Adversarial Networks (GANs)	content	link
M05	2017-12-07	Cowork - Tineretului	YOLO algorithm for object detection	content	link
M04	2017-10-05	Cowork - Tineretului	Faster R-CNN	content	link
M03	2017-07-13	Cowork - Tineretului	Fast R-CNN	content	link
M02	2017-05-12	Cowork - Tineretului	Convolutional Neural Networks for Image Classification	content	link
M01	2017-03-09	Ambasada	Let's get to know each other	content	link

Presentations

Date	M#	Speaker	Topic	Slides
2022-03-16	M40	Bogdan Burlacu	Scientific Machine Learning	pdf
2021-09-23	M39	Patrick Hynds, Ciprian Jichici	An Introduction to Quantum Computing and Applied Learning	pdf
2021-07-21	M38	Eitan Netzer, Dacian Stroia & Alexandru Iliescu	Accelerating model retraining using coresets & Scoliosis X-ray analysis using DL	pdf
2021-07-07	M37	Iulia Duta & Andrei Nicolicioiu	Introduction to Graph Neural Networks	pdf
2021-04-15	M36	Andrei Hera	Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks	pdf
2020-12-15	M35	Organizers	NeurIPS meetup #2: Beyond Backpropagation
2020-12-10	M34	Organizers	NeurIPS meetup #1: Representation/Relational learning
2020-11-20	M33	Sergio Garrido	Estimating causal effects using NADEs	pdf
2020-11-05	M32	Robert Maria & Titus Nicolae	Autoencoders and Variational Autoencoders	pdf
2020-09-24	M31	Robert Maria	Introduction to Deep Generative Models	pdf
2020-06-25	M30	Claudiu Vintilă	Deploying your neural network in the cloud. How to scale your model.
2020-05-29	M29	Laurence Jennings	Natural Language Processing: from word embeddings to transformers	pdf
2020-04-21	M28	Vinkle Srivastav	Visualization and Understanding of DNNs	pdf
2020-03-06	M27	Henning Wachsmuth	Towards an Argument Search Engine for the Web	pdf
2019-12-15	M26	Kristian Miok	Bayesian Neural Networks for Hate Speech Detection
2019-12-12	M24	Felix Aurel Mic	The analysis of glycemia datasets in diabetes
2019-12-11	M23	Ana Maria Popescu & Vasile Toma	A compute-efficient SoC for Edge AI	pdf
2019-09-07	M22	Ruxandra Stoean	Deep learning: a practical solution for real-world cases in medicine?	pdf
2019-09-07	M22	Radu Moldovan	Making ML simple, portable and scalable	pdf
2019-09-07	M22	René Donner	Medical Image Retrieval	pdf
2019-05-29	M21	Sorin Ţîrc	Introduction to Adversarial Robustness	link
2019-03-20	M20	Alex Petenchea	Extreme Gradient Boosting	code
2019-03-20	M20	Tudor Ştefan	How to create your Recommender System using Embeddings	code
2019-02-23	M19	Razvan Pascanu	Overview of Deep Learning	pdf
2019-02-23	M19	Lucian Busoniu	Overview of Reinforcement Learning	pdf
2019-02-23	M19	Piotr Mirowski	Learning to navigate	pdf
2019-02-23	M19	Elena Burceanu	Video semantic segmentation	pdf
2019-02-23	M19	Jeff Donahue	Generative Adversarial Networks	pdf
2019-02-23	M19	Viorica Patraucean	Hands-on tutorial on deep convnets (Colorization)	pdf code
2019-01-22	M18	Titus Nicolae	OpenVINO & Neural Compute Stick 2	pdf
2018-11-28	M17	Codrin-Andrei Rîpă	YOLO: an algorithm for fast object detection
2018-10-13	M16	Robert Maria	Joint Face Detection and Alignment using Multi-task Cascaded CNNs	code
2018-10-10	M15	Virgil Petcu	fast.ai Live - Practical Deep Learning For Coders	pdf
2018-09-14	M14	Corina Gurău	Informal discussion about Corina's PhD work at Oxford
2018-09-08	M13	Alin Dobre	Building a CNN using IBM Watson	docx
2018-06-21	M12	Virgil Petcu	"Zoom in, enhance!" in real-life : super-resolution with deep learning	code
2018-06-02	M11	Robert Maria	Hands on Deep Learning: from the first classifier to neural style transfer (III)	code
2018-03-17	M10	Robert Maria	Hands on Deep Learning: from the first classifier to neural style transfer (II)	code
2018-03-03	M09	Robert Maria	Hands on Deep Learning: from the first classifier to neural style transfer	code
2018-02-01	M08	Victor Adăscăliței	Long short-term memory Networks (LSTMs)	pdf code
2018-01-25	M07	Victor Adăscăliței	Conditional GANs and Project Magenta	pdf1 pdf2
2017-12-21	M06	Victor Adăscăliței	Presentation of Generative Adversarial Networks (GANs)	pdf
2017-12-07	M05	Robert Maria	YOLO algorithm for object detection
2017-10-05	M04	Robert Maria	Faster R-CNN
2017-07-13	M03	Robert Maria	Fast R-CNN
2017-05-02	M02	Robert Maria	Convolutional Neural Networks for Image Classification
2017-03-09	M01	Beer	Let's get to know each other