List of Vadim's presentations

2023 Accelerating object serialization by using constraints - FOSDEM, Brussels, Belgium
2021 API Security - Athenian Symposium, remote
2021 Kubeflow on a Bare-Metal GPU Cluster from Scratch - MLCon Singapore, remote
2021 Releases Matching - Athenian Symposium, remote
2021 Full software development cycle analytics in near real-time - OpenDataScience Datafest, Code Mining, remote
2019 Distributed training of Tensorflow models - DevFest, Moscow, Russia
2019 Code as Data and Machine Learning on Source Code - SF Data Science Meetup, San Francisco, CA, USA
2019 Fun with GPUs - source{d}, Madrid (internal)
2019 Mining software development history (evolution) - SkyTalks, Gliwice, Poland
2019 Mining software development history - MLConference, Munich, Germany
2019 This is source{d} (for SUP'COM) - Madrid, Spain
2019 style-analyzer: fixing code style inconsistencies with interpretable unsupervised algorithms - MSR, Montreal, Canada
2019 Personal code review assistants and Machine Learning on Source Code - DevPro, Tomsk, Russia
2019 Suggesting Fixes during Code Review with ML - FOSDEM, Brussels, Belgium
2019 Lookout Assisted Code Review - source{d} MLonCode Meetup, online
2018 TensorFlow.js - DevFest, Lisbon, Portugal
2018 TensorFlow.js - DevFest, Krasnodar, Russia
2018 TensorFlow.js - DevFest, Aalborg, Denmark
2018 TensorFlow.js - DL Meetup, Madrid, Spain
2018 TensorFlow.js - ML Meetup, Nantes, France
2018 Machine Learning on Git: Hercules and his Labours - GoWayFest, Minsk, Belarus
2018 Scalable Language-Agnostic Analysis of Source Code and VCS History - ICSME pre-party, Madrid, Spain
2018 Splitting source code identifiers using BiLSTM - ML4P, Oxford, Great Britain
2018 State of Open Source Machine Learning (evolution) - PyData, Mallorca
2018 Machine Learning on Source Code (evolution) - Developer Week, New York
2018 Public Git Archive - MSR, Gothenburg
2018 Machine Learning on Source Code (remix) - dotAI, Paris
2018 State of Open Source Machine Learning - OSCAL, Tirana
2018 Codelab: Tensorflow + Go (evolution) - Google IO Extended, Aalborg
2018 Machine Learning on Source Code (evolution) - OSCAL, Tirana
2018 Machine Learning on Source Code - PyDays, Vienna
2018 Codelab: Tensorflow + Go - Russian Go Community, Moscow
2018 Стэк для машинного обучения на исходном коде - Moscow Python, Moscow
2018 Measuring code sentiment in a Git repository - GopherCon, Moscow
2017 Fighting with high-dimensional not-so-small data (evolution) - CodeMotion, Madrid
2017 Fighting with high-dimensional not-so-small data - M³, London
2017 Open Source Stack for Machine Learning on Source Code - GDG, Berlin
2017 Similarity of GitHub Repositories by Source Code Identifiers - source{d} Tech Talks, Moscow
2017 Hercules and His Labours - source{d} Tech Talks, Moscow
2017 GitHub Contributions Graph: Analyzing PageRank & Proving The 6 Handshakes Theory - DevDays, Vilnius
2016 Source code abstracts classification using CNN (evolution) - Slush, Helsinki
2016 Source code abstracts classification using CNN (evolution) - Data Natives, Berlin
2016 Using deep RNN to model source code - Re-Work, London
2016 Работа с Go из Python - Go Meetup, Moscow
2016 Source code abstracts classification using CNN - Re-Work, Berlin
2016 Antispam From The Inside Out - Mail.Ru, Moscow
2015 Web Programming @ MIPT - MIPT, Moscow

License of all the materials: CC-BY-NC-SA 4.0.