intsystems/BMM
Sep 2025 – Sep 2025
1 Month active
Languages Used
BinaryLaTeX
Technical Skills
Bayesian Neural NetworksMachine Learning ResearchMachine Learning TheoryPresentation DevelopmentTechnical PresentationTechnical Writing
minashkinvladislav
PROFILE
Minashkinvladislav
Vladislav Minashkin developed two educational presentation modules for the intsystems/BMM repository, focusing on neural networks and Bayesian neural networks. He created reproducible LaTeX-based slides and documentation, incorporating detailed problem statements, theoretical background, and experimental results, including analysis of the Snake activation function and uncertainty quantification methods. His work emphasized technical writing and presentation development, structuring source files and images to support future reuse and knowledge sharing. By concentrating on content creation rather than bug fixes, Vladislav demonstrated depth in machine learning theory and research, leveraging LaTeX and binary formats to deliver well-documented, reusable artifacts for educational outreach.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
2Total
Bugs
0
Commits
2
Features
2
Lines of code
503
Activity Months1
Your Network
6 people
Work History
September 2025
2 Commits • 2 Features
Sep 1, 20252025-09 monthly summary for intsystems/BMM. Key deliverables focused on educational presentation materials. Two main features shipped as artifacts: Week 1 Neural Networks and Periodic Functions and In-Between Uncertainty in Bayesian Neural Networks. These assets include LaTeX sources, slides, images, and PDFs, with detailed problem statements, theory, experiments, and results (including Snake activation function discussion). This work enhances reproducibility, supports outreach, and serves as reusable content for future talks. No major bugs fixed in this period; effort concentrated on content creation and documentation. Technologies demonstrated: LaTeX, src file scaffolding, slide production, experimental documentation, and reproducible artifacts.
2 Commits • 2 Features
Sep 1, 20252025-09 monthly summary for intsystems/BMM. Key deliverables focused on educational presentation materials. Two main features shipped as artifacts: Week 1 Neural Networks and Periodic Functions and In-Between Uncertainty in Bayesian Neural Networks. These assets include LaTeX sources, slides, images, and PDFs, with detailed problem statements, theory, experiments, and results (including Snake activation function discussion). This work enhances reproducibility, supports outreach, and serves as reusable content for future talks. No major bugs fixed in this period; effort concentrated on content creation and documentation. Technologies demonstrated: LaTeX, src file scaffolding, slide production, experimental documentation, and reproducible artifacts.
September 2025
Activity
Loading activity data...
Quality Metrics
Correctness90.0%
Maintainability90.0%
Architecture90.0%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
BinaryLaTeX
Technical Skills
Bayesian Neural NetworksMachine Learning ResearchMachine Learning TheoryPresentation DevelopmentTechnical PresentationTechnical Writing
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline