Yalikesifulei

Yalikesifulei's Stars

• andrii0yerko/iasa-ds-champ

  Language:Jupyter Notebook11

• Kaifolog/TME

  Cross-platform Turing machine emulator.

  Language:C++5

• alexlenail/NN-SVG

  Publication-ready NN-architecture schematics.

  Language:JavaScript5.2k699

• Yalikesifulei/INT20H-2022-Hackathon

  solution by Team GARCH

  Language:Jupyter Notebook23

• imgremlin/INT20H-22

  Solution by GORNYAKI (21:00), 1st place on public LB

  Language:Jupyter Notebook1

• Yalikesifulei/hack4retail

  Hack4Retail hackathon solution by "Tsina Tyzhnia" team

  Language:Jupyter Notebook63

• iasanna/Object-detection

  Video Object detection using classical Computer Vision techniques and OpenCV (detecting circle, triangle, rectangle)

  Language:Jupyter Notebook1

• Yalikesifulei/gt_report

  Report on Differential Games basics (in Ukrainian) // Доповідь про основи диференціальних ігор

  Language:TeX21

• nikiandr/symb_server

  Client-server socket-based web application for symbolic computation

  Language:Python3

• andrii0yerko/frog-farm-api

  Back-end part of the "Frog farm" project, a server that provides WebSocket connection and RESTful API. Implemented with Flask, Flask-RESTful, Flask-Socket and SQLAlchemy

  Language:Python41

• Yalikesifulei/pca_derivation

  Derivation of PCA (principal component analysis) by IASA students N. Fordui and O. Galganov.

  Language:TeX21

• artemkavara/hackweb

  Language:Jupyter Notebook11

• amaiya/ktrain

  ktrain is a Python library that makes deep learning and AI more accessible and easier to apply

  Language:Jupyter Notebook1.2k269

• Yalikesifulei/machine_learning

  Some Machine Learning tools with NumPy. Neural network for multiclass classification with backprop, PCA (principal component analysis). Usage examples included. Made according to Andrew Ng ML course.

  Language:Jupyter Notebook2

• nikiandr/prob_notes

  Lecture notes on Probability theory course (in Ukrainian)

  Language:TeX51