Igor Surgutanov's repositories
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
mlcourse_open
OpenDataScience Machine Learning course. Both in English and Russian
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
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.