Pinned Repositories
3DRetrieval
Spatially-sparse convolutional networks. Allows processing of sparse 2, 3 and 4 dimensional data.Build CNNs on the square/cubic/hypercubic or triangular/tetrahedral/hyper-tetrahedral lattices.
3dShapeNets
BayesOpt_tutorial
Materials for the tutorial on Gaussian Processes and Bayesian Optimization
dlsvm
SVM on top of Deep Neural Network
gp
pandas-plink
PLINK reader for Python.
pylean
Python wrapper for lean-gym
rnn_vd
GRU with Variational Dropout
string_art
tensor_completion
Tensor Completion
yeahrmek's Repositories
yeahrmek/BayesOpt_tutorial
Materials for the tutorial on Gaussian Processes and Bayesian Optimization
yeahrmek/dlsvm
SVM on top of Deep Neural Network
yeahrmek/pylean
Python wrapper for lean-gym
yeahrmek/gp
yeahrmek/3dShapeNets
yeahrmek/rnn_vd
GRU with Variational Dropout
yeahrmek/pandas-plink
PLINK reader for Python.
yeahrmek/string_art
yeahrmek/tensor_completion
Tensor Completion
yeahrmek/3DRetrieval
Spatially-sparse convolutional networks. Allows processing of sparse 2, 3 and 4 dimensional data.Build CNNs on the square/cubic/hypercubic or triangular/tetrahedral/hyper-tetrahedral lattices.
yeahrmek/adasegroup.github.io
Official website of the ADASE Group at Skoltech, Moscow
yeahrmek/approx_GP
yeahrmek/ColBERT
ColBERT: state-of-the-art neural search (SIGIR'20, TACL'21, NeurIPS'21, NAACL'22, CIKM'22, ACL'23, EMNLP'23)
yeahrmek/coq_serapy
Python bindings for Coq Serapi. Primarily designed for use in Proverbot9001. Works for Coq versions 8.9-8.12.
yeahrmek/DeforumStableDiffusionLocal
Local version of Deforum Stable Diffusion, supports txt settings file input and animation features!
yeahrmek/DPR
Dense Passage Retriever - is a set of tools and models for open domain Q&A task.
yeahrmek/lean_proof_recording
Proof recording for Lean 3
yeahrmek/memorizing-transformers-pytorch
Implementation of Memorizing Transformers (ICLR 2022), attention net augmented with indexing and retrieval of memories using approximate nearest neighbors, in Pytorch
yeahrmek/pycoq
python API to coq-serapi
yeahrmek/quantum_machine_learning
Quantum Machine Learning
yeahrmek/sexpdata
S-expression parser for Python
yeahrmek/t3f
Tensor Train decomposition on TensorFlow
yeahrmek/t5-experiments
yeahrmek/thesis
Large scale Gaussian process models
yeahrmek/tslearn
A machine learning toolkit dedicated to time-series data