pokidyshev

ml-course-vsu

Курс по машинному обучению на факультете ПММ ВГУ

cv-course-vsu

Курс по компьютерному зрению на факультете ПММ ВГУ

ds-docker-setup

Scripts to run Jupyter on a remote docker container

ml-intro-course-vsu

Введение в машинное обучение на факультете ПММ ВГУ

atlassian-python-api

Atlassian Python REST API wrapper

Blurry

🌫 Image Blurring in Swift

catalyst

Reproducible and fast DL & RL.

coremltools

Core ML tools contain supporting tools for Core ML model conversion, editing, and validation.

cvu

Computer Vision deployment tools for dummies and experts. CVU aims at making CV pipelines easier to build and consistent around platforms, devices, and models.

e-bash

Bash experiments

fastai-v3

Starter app for fastai v3 model deployment on Render

fastbook

The fastai book, published as Jupyter Notebooks

keras

Deep Learning for humans

langchain

⚡ Building applications with LLMs through composability ⚡

maskrcnn-benchmark

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

mlxtend

A library of extension and helper modules for Python's data analysis and machine learning libraries.

nlp_course

YSDA course in Natural Language Processing

not-hotdog

This is a demo app that shows how to use CoreML & Vision to make real-time predictions

onnx-coreml

ONNX to CoreML Converter

pipedrive-python

Pipedrive wrapper written in Python

Practical_RL

A course in reinforcement learning in the wild

scikit-multilearn

A scikit-learn based module for multi-label et. al. classification

segmentation_models.pytorch

Segmentation models with pretrained backbones. PyTorch.

streamlit

Streamlit — A faster way to build and share data apps.

swift-patterns

tensorflow-onnx

Convert TensorFlow models to ONNX

TernausNet

UNet model with VGG11 encoder pre-trained on Kaggle Carvana dataset

tf-coreml

TensorFlow to CoreML Converter

vidsz

Common Wrapper/Interface around various video reading/writing tools to make video reading stable, consistent, and super easy around different systems and OS.

yolov7

Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors