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  • šŸ‘‹ Hi, Iā€™m Aleksei
  • šŸ‘€ Iā€™m interested in technologies and economics.
  • šŸ‘·ā€ā™‚ļø Iā€™m involved in many communities: huggingface, quantum ml open course (qmlcourse), ternaus start-up club.
  • šŸŒ± Iā€™m currently learning deeplearning.ai generative courses and MIT Han Lab TinyML and Quantization course. Links: videos homeworks
  • šŸ’žļø Iā€™m looking to collaborate on generative content (LLMs, stable diffusions etc.)
  • šŸ“« How to reach me - just send me personal message on LinkedIn: https://www.linkedin.com/in/avpronkin or telegram with the same nickname as in LinkedIn

Aleksei Pronkin's Projects

annealed icon annealed

Reproducing paper "Improving Explorability in Variational Inference with Annealed Variational Objectives Bayesian methods"

cloudcross icon cloudcross

CloudCross it's opensource crossplatform software for syncronization a local files and folders with many cloud providers. On this moment a Cloud Mail.Ru, Yandex.Disk, Google drive, OneDrive and Dropbox support is available

corner_poolings icon corner_poolings

Corner poolings from https://github.com/princeton-vl/CornerNet/tree/master/models/py_utils/_cpools

ddcolor icon ddcolor

Official implementation of DDColor with some script improvements

deepface icon deepface

A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python

demucs icon demucs

Code for the paper Music Source Separation in the Waveform Domain

denoiser icon 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.

detectron icon detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

diffusers icon diffusers

šŸ¤— Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch

flask-music-app icon flask-music-app

A Music player app in Flask which can manage playlists,Download songs,etc;

gan-optimization icon gan-optimization

Lan's Gradient Sliding and The Ellipsoid method are examined as tools for training Generative Adversarial Networks.

gpytorchopt icon gpytorchopt

Work in progress repo for Bayesian Optimization using GPyTorch

maskrcnn-benchmark icon maskrcnn-benchmark

Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.

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