Pinned Repositories
Algorithms
My implementation of some algorithms
BSU
for studying in BSU
Contests
my solution for tasks from some contests
just-paper-notes
moexapi
Python API for MOEX
spotter-biometry-project
Traffic-sign-recognition
mlcup
Official baseline solutions to Yandex Cup ML challenge
speech_course
YSDA course in Speech Processing.
kventinel's Repositories
kventinel/BSU
for studying in BSU
kventinel/moexapi
Python API for MOEX
kventinel/spotter-biometry-project
kventinel/just-paper-notes
kventinel/Algorithms
My implementation of some algorithms
kventinel/Contests
my solution for tasks from some contests
kventinel/Traffic-sign-recognition
kventinel/AlgoWiki
Repository which contains links and resources on different topics of Computer Science.
kventinel/C-Plus-Plus
Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.
kventinel/CodingHackathons
It will contain the problems and solutions in one or more languages for the Past Coding Hackathons
kventinel/Competitive-Programming
Contains the Solutions to Online Competitive Programming
kventinel/Competitive-Programming-questions
This repo is open for all. Add your favourite competitive programming questions along with the solution.
kventinel/configs
configs for some tools
kventinel/denoiser
Real Time Speech Enhancement in the Waveform Domain (Interspeech 2020)We provide a PyTorch implementation of the paper Real Time Speech Enhancement in the Waveform Domain. In which, we present a causal speech enhancement model working on the raw waveform that runs in real-time on a laptop CPU. The proposed model is based on an encoder-decoder architecture with skip-connections. It is optimized on both time and frequency domains, using multiple loss functions. Empirical evidence shows that it is capable of removing various kinds of background noise including stationary and non-stationary noises, as well as room reverb. Additionally, we suggest a set of data augmentation techniques applied directly on the raw waveform which further improve model performance and its generalization abilities.
kventinel/docker_images
kventinel/hse-ml-project-mnist
kventinel/INTERSPEECH-2023-Papers
INTERSPEECH 2023 Papers: A complete collection of influential and exciting research papers from the INTERSPEECH 2023 conference. Explore the latest advances in speech and language processing. Code included. Star the repository to support the advancement of speech technology!
kventinel/LightGBM
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks. It is under the umbrella of the DMTK(http://github.com/microsoft/dmtk) project of Microsoft.
kventinel/mlcup
Official baseline solutions to Yandex Cup ML challenge
kventinel/mlhep-course-2017
materials for course on machine learning for HEP at YSDA
kventinel/nlp_course
YSDA course in Natural Language Processing
kventinel/Passwords
kventinel/Practical_DL
DL course co-developed by YSDA, Skoltech and HSE
kventinel/Practical_RL
A course in reinforcement learning in the wild
kventinel/protein-alignment
kventinel/protein_structure_modeling
kventinel/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
kventinel/pytube
A lightweight, dependency-free Python library (and command-line utility) for downloading YouTube Videos.
kventinel/stable-diffusion
Latent Text-to-Image Diffusion
kventinel/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.