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Ivan Nazarov's Projects

awesome-neural-ode icon awesome-neural-ode

A collection of resources regarding the interplay between differential equations, dynamical systems, deep learning, control and optimization.

char-rnn icon char-rnn

Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch

cleanrl icon cleanrl

High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)

complex_paper icon complex_paper

A paper on experimenting with complex-valued networks and complex var dropout.

cplxmodule icon cplxmodule

Complex-valued neural networks for pytorch and Variational Dropout for real and complex layers.

crossing_paper2017 icon crossing_paper2017

An unfinished conference paper outlining the experimental results obtained in my course project in 2015.

cv icon cv

My work experience beside activity on github

ecole icon ecole

Nodesel dynamics for Extensible Combinatorial Optimization Learning Environments

fds2020_seminars icon fds2020_seminars

Repository with seminars from the course Theoretical Foundations of Data Science at Skoltech in summer 2020

flowavenet icon flowavenet

A Pytorch implementation of "FloWaveNet: A Generative Flow for Raw Audio"

gpt-2 icon gpt-2

Code for the paper "Language Models are Unsupervised Multitask Learners"

gym icon gym

A toolkit for developing and comparing reinforcement learning algorithms.

gymdiscomaze icon gymdiscomaze

Implementation of DiscoMaze environment from sec. 4.1 of arxiv:2002.06038

imbalanced-learn icon imbalanced-learn

A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning

krocki_dnc icon krocki_dnc

(fork krocki/dnc.git) Simple RNN, LSTM and Differentiable Neural Computer in pure Numpy

l1_tf icon l1_tf

A wrapper for L1 trend filtering via primal-dual algorithm by Kwangmoo Koh, Seung-Jean Kim, and Stephen Boyd

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