likzet's Stars
lmcinnes/umap
Uniform Manifold Approximation and Projection
esokolov/ml-course-hse
Машинное обучение на ФКН ВШЭ
avehtari/BDA_course_Aalto
Bayesian Data Analysis course at Aalto
sb-ai-lab/LightAutoML
Fast and customizable framework for automatic ML model creation (AutoML)
whitehorn/Scientific_graphics_in_python
Электронный учебник-пособие по научной графике в python
iamalexkorotin/NeuralOptimalTransport
PyTorch implementation of "Neural Optimal Transport" (ICLR 2023 Spotlight)
rajshah4/aftershocks_issues
Issues with Deep Learning of Aftershocks by DeVries
bayesgroup/deepbayes2017
dmitryikh/nla3d
2D/3D finite element programming framework
stat-ml/alpaca
Library for active learning and uncertainty estimation in machine learning
IlyaTrofimov/RTD
[ICML 2022] Representation Topology Divergence: A Method for Comparing Neural Network Representations
rubinxin/FITBO
Code for Fast Information-theoretic Bayesian Optimisation
fursovia/dilma
DILMA: Differentiable Language Model Adversarial Attacks on Categorical Sequence Classifiers
romanenkova95/InDiD
Astralex98/long-term-drought-prediction
mishagrol/Awesome-Geospatial-ML-Toolkit
Awesome Environmental Geospatial is a curated collection of cutting-edge tools, resources, and projects that harness the power of geospatial technologies to address pressing environmental challenges.
stat-ml/scale-face
yeahrmek/gp
nokiroki/recsys-evaluation-of-dozens-datasets
quffka/quffka
Quadrature-based features for kernel approximation
sremes/wishart-gibbs-kernel
A Mutually-Dependent Hadamard Kernel for Modelling Latent Variable Couplings (ACML 2017)
avecplezir/distribution-based-connectivity
Distribution-Based Mode Connectivity in PyTorch
lange-am/OCSVM_PLUS
Python library for one-class nu-SVM algorithm with "privileged information", compatible with scikit-learn
natalikozlo/margin_deep_smote
romakail/Ensemble_DNN
In this repository I explore different methods of ensembling of DNN