gvyshnya
A Data Scientist & Software Dev with blended industrial experience in software development, IT, DevOps, operation and project management, and C-level roles
Kyiv, Ukraine - Warsaw, Poland
gvyshnya's Stars
triton-lang/triton
Development repository for the Triton language and compiler
gvyshnya/BirdCallClassification
The repo contains various materials created as a part of Cornell Birdcall Identification project
Zoddy/cushion
Node.js CouchDB API
boxuancui/DataExplorer
Automate Data Exploration and Treatment
Arturus/kaggle-web-traffic
1st place solution
MaxHalford/xam
:dart: Personal data science and machine learning toolbox
jaungiers/LSTM-Neural-Network-for-Time-Series-Prediction
LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data
vecxoz/vecstack
Python package for stacking (machine learning technique)
apache/mxnet
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
nlintz/TensorFlow-Tutorials
Simple tutorials using Google's TensorFlow Framework
kaz-Anova/StackNet
StackNet is a computational, scalable and analytical Meta modelling framework
githubuser1983/webscikit
Webscikit is a set of tools to run a webserver as a JSON Webservice for scikit-learn predictions. It comes with two examples: boston and boston2
ParrotPrediction/docker-course-xgboost
Materials for an online-course - "Practical XGBoost in Python"
pksohn/tweet-clustering
Clustering analysis of one million tweets using scikit-learn, including basic benchmarking of various clustering algorithms
ambarishg/ambarishg.github.io
dennybritz/cnn-text-classification-tf
Convolutional Neural Network for Text Classification in Tensorflow
Kaggle/docker-python
Kaggle Python docker image
sjvasquez/web-traffic-forecasting
Kaggle | Web Traffic Forecasting 📈
jcjohnson/fast-neural-style
Feedforward style transfer
iterative/dvc
🦉 ML Experiments and Data Management with Git