32:12
Keynote: Trust in the device dimensions of human-chatbot relations - Aleksandra Przegalińska
PyData
52:33
Keynote: Tl;dr: Summarization. - Lynn Cherny
43:42
Keynote: Cognimates: Read, Write and Tinker with AI - Stefania Druga
47:41
Keynote: The Neural Aesthetic - Gene Kogan
5:39
Conference Opening Notes
24:14
From Data to Deliverable - Steph Samson
17:56
How I learnt computer vision by playing pool - Łukasz Kopeć
29:31
Hand in hand with weak supervision using snorkel - Szymon Wojciechowski
30:44
Bit to Qubit: Data in the age of quantum computers - Shahnawaz Ahmed
27:28
In Browser AI - neural networks for everyone - Kamila Stepniowska, Piotr Migdał
39:37
High Performance Data Processing in Python - Donald Whyte
26:44
Learning to rank @ allegro.pl - Tomasz Bartczak, Ireneusz Gawlik
35:16
Similarity learning using deep neural networks - Jacek Komorowski
40:20
Visualize, Explore and Explain Predictive ML Models - Przemyslaw Biecek
30:04
A deep revolution in speech processing and analysis - Pawel Cyrta
21:42
Can you enhance that? Single Image Super Resolution - Katarzyna Kańska
32:24
Sylwek Brzęczkowski: Step by Step Face Swap | PyData Warsaw 2019
31:00
PyTorch 1.0: now and in the future - Adam Paszke
26:02
Can you trust neural networks? - Mateusz Opala
32:57
Recognizing products from raw text descriptions using... - Tymoteusz Wołodźko, Tomasz Płomiński
27:36
AI meets Art - Agata Chęcińska
27:13
Deep Learning Semantic Segmentation for Nucleus Detection - Dawid Rymarczyk
23:40
Spot the difference: train your image analytics model to recognize fine grain...- Katarina Milosevic
27:04
Comixify: Turning videos into comics - Adam Svystun, Maciej Pęśko, Tomasz Trzcinski
31:07
Spammers vs. Data: My everyday fight - Juan De Dios Santos
30:34
Data Pipeline Hyperparameter Optimization - Alex Quemy
27:09
Computer vision challenges in drug discovery - Maciej Hermanowicz
20:37
It is never too much: training deep learning models with more than one modality - Adam Słucki
30:47
Uncertainty estimation and Bayesian Neural Networks - Marcin Możejko
23:23
Predicting preterm birth with convolutional neural nets - Tomasz Włodarczyk, Szymon Płotka
29:20
Hitting the gym: controlling traffic with Reinforcement Learning - Steven Nooijen
28:49
Distributed deep learning and why you may not need it - Jakub Sanojca, Mikuláš Zelinka
30:02
The Dawn of Mind Reading in Python - Krzysztof Kotowski
30:46
The smart shopping basket: A Case Study with deep..- Marcin Stachowiak, Michal Dura, Piotr Szajowski
32:17
Application of Recurrent Neural Networks to innovative drug design - Rafał A. Bachorz
33:21
Optimizing Deep Neural Networking with Delve - Justin Shenk
24:50
What Ad is this - Adam Witkowski
27:39
S3 7
20:56
S3 5
33:24
S3 4
32:14
S3 3
5:07
S2 16
