kirvlasenkov

LLM101n

LLM101n: Let's build a Storyteller

matstat-AB

Курс по матстату для онлайна :)

loopy

A tool for thinking in systems

study-music

An "awesome music theory" kinda wiki with books, resources and courses for studying everything about music and sound

npv

Net Present Value (NPV) Simulation for Python

finmath-notebooks

stylegan3

Official PyTorch implementation of StyleGAN3

pidrila

Python Interactive Deepweb-oriented Rapid Intelligent Link Analyzer

pico

Minimal CSS Framework for semantic HTML

metrics_pro

Problems for seminars in econometrics under free license

metrics_hse_exams

Econometrics problems from hse exams (in russian)

Python-for-Finance-Cookbook

Python for Finance Cookbook, published by Packt

tehnotrack-mail

Tehnotrek: source code for Java Basic course

pytorch3d

PyTorch3D is FAIR's library of reusable components for deep learning with 3D data

Practical_DL

DL course co-developed by YSDA, HSE and Skoltech

cml

♾️ CML - Continuous Machine Learning | CI/CD for ML

thefuck

Magnificent app which corrects your previous console command.

aiogram

aiogram is a modern and fully asynchronous framework for Telegram Bot API written in Python using asyncio

python-telegram-bot

We have made you a wrapper you can't refuse

pytorch-metric-learning

The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.

catalyst

Accelerated deep learning R&D

albumentations

Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

antialiased-cnns

pip install antialiased-cnns to improve stability and accuracy

nlp_course

YSDA course in Natural Language Processing

webcam-capture

The goal of this project is to allow integrated or USB-connected webcams to be accessed directly from Java. Using provided libraries users are able to read camera images and detect motion. Main project consist of several sub projects - the root one, which contains required classes, build-in webcam driver compatible with Windows, Linux and Mac OS, which can stream images as fast as your camera can serve them (up to 50 FPS). Main project can be used standalone, but user is able to replace build-in driver with different one - such as OpenIMAJ, GStreamer, V4L4j, JMF, LTI-CIVIL, FMJ, etc.

tdl

Course "Theories of Deep Learning"

imgaug

Image augmentation for machine learning experiments.

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

ml-course

Open Machine Learning course

technotrack-NN2021S-lectures

Материалы по курсу искусственных нейронных сетей на Технотреке. Весна 2021.