shroedingercat Goto Github PK

auto-punctuation

automatic-machine-learning-system

Implementation of classical machine learning algorithms (SVM, random forest, gradient boosting and others in C++) and optimization of their hyperparameters using a genetic algorithm.

car-plates-ocr

dlcourse_ai

Материалы курса Deep Learning на пальцах

dmia_sport_2019_spring

Репозиторий спортивного направления DMIA, весна 2019

heptabot-small

The object of the development is a neural network model for correcting grammatical errors in the text in English, of varying degrees of complexity. The goal is to implement a neural network for correcting grammatical errors, research and application of compression methods(distillation and quantization) for the T5 neural network.

ivy

The Unified Machine Learning Framework

kursach

library_base

Описание проекта можно найти в папке "Notes", в файле "руководство пользователя"

linear-regression-spark

made

markdown_readme

Markdown - you can mark up titles, lists, tables, etc., in a much cleaner, readable and accurate way if you do it with HTML.

mipt

mrg_mlcourse_module1

myproject

ner

neural_networks_and_cv

odqa

Web demo for cross-lingual open domain question answering system

reinforcement-learning-blackjack

self-learning-monte-carlo-algorithms

Application of fully connected and convolutional neural networks for solving actual problems in statistical physics.

smartmail_hack

test_intro

Research of stock prices of IT companies

transformers

🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.

unsupervised-landmarks-thousand-landmarks-contest