amkatrutsa / advanced-opt
Presentations of the advanced topics in optimization
☆11Updated 5 years ago
Related projects ⓘ
Alternatives and complementary repositories for advanced-opt
- Optimization methods course at MIPT☆11Updated 6 years ago
- ☆21Updated 2 years ago
- A course on Optimization Methods☆150Updated 2 years ago
- Models and code for the ICLR 2020 workshop paper "Towards Understanding Normalization in Neural ODEs"☆16Updated 4 years ago
- Repository for 2016 NLA course @ Skoltech☆20Updated 7 years ago
- Theoretical Deep Learning: generalization ability☆46Updated 4 years ago
- Skoltech 2017 NLA course☆37Updated 6 years ago
- NLA 2018 Skoltech course☆51Updated 5 years ago
- NLA 2019 course @ Skoltech.☆36Updated 4 years ago
- Quadrature-based features for kernel approximation☆16Updated 6 years ago
- ☆11Updated 3 years ago
- Supplementary code for the paper "Meta-Solver for Neural Ordinary Differential Equations" https://arxiv.org/abs/2103.08561☆25Updated 3 years ago
- Github repository for NLA2020 course☆82Updated 3 years ago
- Materials for HSE course "Applied Statistics in Machine Learning" taught during 2018.☆20Updated 8 months ago
- Numerical linear algebra course in Ozon masters, Fall 2020☆24Updated 3 years ago
- Bayesian methods in deep learning Summer School☆19Updated 7 years ago
- [AAAI 2020 Oral] Low-variance Black-box Gradient Estimates for the Plackett-Luce Distribution☆36Updated 3 years ago
- Repository with all material for SMILES, the Summer School of Machine Learning at Skoltech, taking place from the 16th to the 21st of Aug…☆54Updated 4 years ago
- Effective uncertainty estimation with decorellation and DPP mask for dropout☆9Updated last year
- this repository is created to accumulate all LaTeX templates needed at Skoltech☆20Updated 5 years ago
- FLOPs and other statistics COunter for Pytorch neural networks☆23Updated 3 years ago
- repository with the tutorials for MLSS Skoltech☆67Updated 5 years ago
- Very simple and short implementation of gradient boosting in 18 lines of code☆9Updated 4 years ago
- Code for MSID, a Multi-Scale Intrinsic Distance for comparing generative models, studying neural networks, and more!☆50Updated 5 years ago
- Seminars on optimization methods☆30Updated 3 years ago
- Course "Theories of Deep Learning"☆196Updated 5 years ago
- Implementations of different reinforcement learning algorithms☆10Updated 6 years ago
- Implementation of various optimization methods☆65Updated 2 years ago
- ☆26Updated 3 years ago