Stars
Evolutionary algorithm that uses Large Language Models (LLMs) to automatically improve programs through iterative mutation and selection
The implementation of "TabR: Unlocking the Power of Retrieval-Augmented Tabular Deep Learning"
YTsaurus is a scalable and fault-tolerant open-source big data platform.
CLIP implementation for Russian language
Hyperbolic Vision Transformers: Combining Improvements in Metric Learning | Official repository
(NeurIPS 2022) On Embeddings for Numerical Features in Tabular Deep Learning
Research on Tabular Deep Learning: Papers & Packages
Solver in the low-rank tensor train format with cross approximation approach for the multidimensional Fokker-Planck equation
Code for the WWW'21 paper "HGCF: Hyperbolic Graph Convolution Networks for Collaborative Filtering"
Plotting images made with canvas-sketch lib.
Mixed-curvature Variational Autoencoders (ICLR 2020)
Implementation of Axon network
Cross interpolation of high-dimensional arrays in tensor train format
Supplementary code for the paper "Hyperbolic Image Embeddings".
Riemannian Adaptive Optimization Methods with pytorch optim
this repository is created to accumulate all LaTeX templates needed at Skoltech
PyTorch Tutorial for Deep Learning Researchers
Efficient Robustness Verification for ReLU networks (this repository is outdated, don't use; checkout our new implementation at https://github.com/Verified-Intelligence/auto_LiRPA instead)
A PyTorch Implementation of SphereFace.
Implementations of different reinforcement learning algorithms
Testing different RL algorithms on classic Snake game
Repository for 2016 NLA course @ Skoltech
Recommender system and evaluation framework for top-n recommendations tasks that respects polarity of feedbacks. Fast, flexible and easy to use. Written in python, boosted by scientific python stack.