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Timisoara Deep Learning Meetup

Intro

Timisoara Deep Learning Meetup

Logo

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