IgSurg

dlaicourse

Notebooks for learning deep learning

-Python

Основы языка Python Geekbrain

amadeus-python

Python library for the Amadeus Self-Service travel APIs

Anomaly_detection

Anomaly detection

catboost

A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

docker

Docker commands and example of Dockerfile

GeekBrains-API

GeekBrains API

jobparser

jobparser

Leroy_merlin

Leroy_merlin parse

xgboost

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow

examples

Kubernetes application example tutorials

fashion-mnist

A MNIST-like fashion product database. Benchmark :point_right:

geekbrains-conteinerization

Приглашаю на курс по Kubernetes в GeekBrains

grafana-docker-stack

Docker stack config for deploying Grafana + Prometheus + Node Exporter

jupyter

Jupyter metapackage for installation, docs and chat

k8s-lessons

Kubernetes Course Lessons

LightGBM

A fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks. It is under the umbrella of the DMTK(http://github.com/microsoft/dmtk) project of Microsoft.

MEDIUM_NoteBook

Repository containing notebooks of my posts on Medium

Messanger_Flask

mlcourse_open

OpenDataScience Machine Learning course. Both in English and Russian

MNIST-Fashion-CNN

Monitoring

ovelty and Outlier Detection

pyagentx

Native Python AgentX client implementation to extend SNMP agents

python-docs-samples

Code samples used on cloud.google.com

python-texttospeech

pythonProject

SkillFactory

training-data-analyst

Labs and demos for courses for GCP Training (http://cloud.google.com/training).

word2vec

This tool provides an efficient implementation of the continuous bag-of-words and skip-gram architectures for computing vector representations of words. These representations can be subsequently used in many natural language processing applications and for further research.