akvarats Goto Github PK

ada_ca_prod

ada_datamasters_2019

biopipeline

Pipeline for variations calling.

d2l-en

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 300 universities from 55 countries including Stanford, MIT, Harvard, and Cambridge.

deep-reinforcement-learning-hands-on

Hands-on Deep Reinforcement Learning, published by Packt

genome_bio_docs

habr_antlr4_internal

hands-on-genetic-algorithms-with-python

Hands-On Genetic Algorithms with Python, Published by Packt

ifest2019

iFest 2019: Машинное обучение в задачах обработки текстов на естественном языке.

latex2sympy

Parse LaTeX math expressions

lightbus

RPC & event framework for Python 3

machine-learning-notebooks

Machine Learning notebooks for refreshing concepts.

machine-learning-notebooks-1

Stanford Machine Learning course exercises implemented with scikit-learn

mathquill

Easily type math in your webapp

ml-notebook

Karma of Humans is AI

mmta_fall_2019

Лекции и материалы по курсу "Математические методы анализа текстов" осеннего семестра 2019 года для студентов 3 курса кафедры ММП, ВМК МГУ и кафедры ИС, ФУПМ МФТИ

muddy-night-5501

plsql-postgresql-converter

Tool for automated conversion of Oracle PL/SQL procedural code to PostgreSQL PL/pgSQL

practical_rl

A course in reinforcement learning in the wild

schema_docs

simple_report

Генерация отчетов на основе open xml (xlsx, docx) шаблонов.

studybook

Study E-Book(ComputerVision DeepLearning MachineLearning Math NLP Python ReinforcementLearning)

vvedenie-mashinnoe-obuchenie

:memo: Подборка ресурсов по машинному обучению

ws

x-wines

A world wines dataset with user ratings for recommendation systems and general use.