Pinned Repositories
probaforms
Conditional normalizing flows (NFs), conditional GANs, and conditional variational autoencoders (CVAEs) with sklearn-like interface
waggon
WAGGON: WAssrestein Global Gradient-free OptimisatioN
ds4ns
Materials for the Research Seminar "Data Analysis in Natural Science"
ecg-classification
ECG Arrhythmia classification using CNN
fast_tsp_dfs
GMCPD
ml_notebooks
notebooks on various ml tasks
nl2ml
Natural Language to Machine Learning Corpus
sipp
Multi-agent path planning with sipp
wu-go
Official code for the paper Global Optimisation of Black-Box Functions with Generative Models in the Wasserstein Space.
ramazyant's Repositories
ramazyant/wu-go
Official code for the paper Global Optimisation of Black-Box Functions with Generative Models in the Wasserstein Space.
ramazyant/ds4ns
Materials for the Research Seminar "Data Analysis in Natural Science"
ramazyant/GMCPD
ramazyant/ml_notebooks
notebooks on various ml tasks
ramazyant/nl2ml
Natural Language to Machine Learning Corpus
ramazyant/sipp
Multi-agent path planning with sipp
ramazyant/ecg-classification
ECG Arrhythmia classification using CNN
ramazyant/fast_tsp_dfs
ramazyant/git_lecture
Git and GitHub lecture for EDA students
ramazyant/L-GSO
Local Generative Surrogate Optimisation algorithm
ramazyant/mlhep2020
ramazyant/multiplication
ramazyant/probaforms
Conditional normalizing flows (NFs), conditional GANs, and conditional variational autoencoders (CVAEs) with sklearn-like interface
ramazyant/ramazyant.github.io
My website
ramazyant/regex_ha
home assignments & more
ramazyant/sorting_algorithms
ramazyant/Statistical
Descriptive statistics such as mean, geometric mean, maximum, minimum, sample standard deviation and standard error, median, mode, coefficient of variation, and linear regression. Written for various data type arrays
ramazyant/test
test for rs lecture
ramazyant/timegan
This repository is a non-official implementation of TimeGAN (Yoon et al., NIPS2019) using PyTorch.
ramazyant/tssp_tutorial
ramazyant/tssp_tutorials_2020_21
Student tutorials on ETS, ARIMA etc in Russian