VaRkanar

aiogram

Is a pretty simple and fully asynchronous framework for Telegram Bot API written in Python 3.7 with asyncio and aiohttp.

air-drawing

Client-side air drawing tool

anomalies_detection

Bank-Exited-and-House-Price-using-Neural-Network

Bank Exited and House Price using Deep Learning (Neural Network (Multilayer Perceptron))

COCO_to_YOLOv8

Получение из COCO разметки (CVAT) разметку для YOLOv8-seg (инстанс сегментация) и YOLOv8-obb (детекция повернутых боксов)

courses

Data-Engineering-with-Python

Data Engineering with Python, published by Packt

datasets_

Datasets that I generally use for trainings, workshops

deep-learning-models

Keras code and weights files for popular deep learning models.

VaRkanar/aiogram

Is a pretty simple and fully asynchronous framework for Telegram Bot API written in Python 3.7 with asyncio and aiohttp.

VaRkanar/air-drawing

Client-side air drawing tool

VaRkanar/Bank-Exited-and-House-Price-using-Neural-Network

Bank Exited and House Price using Deep Learning (Neural Network (Multilayer Perceptron))

VaRkanar/COCO_to_YOLOv8

Получение из COCO разметки (CVAT) разметку для YOLOv8-seg (инстанс сегментация) и YOLOv8-obb (детекция повернутых боксов)

VaRkanar/courses

VaRkanar/deep-learning-school

Официальный репозиторий курса Deep Learning (2018-2021) от Deep Learning School при ФПМИ МФТИ

VaRkanar/detectron2

Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.

VaRkanar/FeaturesCalculation

VaRkanar/forrnn

VaRkanar/gpt4free

The official gpt4free repository | various collection of powerful language models

VaRkanar/image_processing

VaRkanar/InterviewQuestions

This is a collection of DS, AI, ML, DL, NLP, Computer Vision job interview questions.

VaRkanar/Kalman-and-Bayesian-Filters-in-Python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

VaRkanar/labelImg

🖍️ LabelImg is a graphical image annotation tool and label object bounding boxes in images

VaRkanar/Machine-Learning-Collection

A resource for learning about Machine learning & Deep Learning

VaRkanar/MachineLearningCourse

Примеры использования библиотек sklean, pandas, numpy и др для курса по машинному обучению

VaRkanar/ManimML

ManimML is a project focused on providing animations and visualizations of common machine learning concepts with the Manim Community Library.

VaRkanar/neural-network-from-scratch

A Neural Network implemented from scratch (using only numpy) in Python.

VaRkanar/neural-networks-and-deep-learning

Code samples for my book "Neural Networks and Deep Learning"

VaRkanar/pyTelegramBotAPI

Python Telegram bot api.

VaRkanar/python-algorithms

python-algorithms

VaRkanar/pythoncode-tutorials

The Python Code Tutorials

VaRkanar/pytorch-deep-learning

Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.

VaRkanar/pytorch-lightning

The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.

VaRkanar/pytorch_lessons

Contain notes and code from my YT pytorch lessons. Храню записи и код со своих YT pytorch уроков

VaRkanar/pytorchTutorial

PyTorch Tutorials from my YouTube channel

VaRkanar/Russian-Phd-LaTeX-Dissertation-Template

LaTeX-template for russian Phd thesis

VaRkanar/stanford_cs231n_2019

Solutions and comments to assignments for 2019 Stanford's course on convolutional neural networks

VaRkanar/udlbook

Understanding Deep Learning - Simon J.D. Prince

VaRkanar/yolov5

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite