Pinned Repositories
bioinformatics
Bioinformatics Algorithms (FIVT_Bioinfo) 2017
chess-engine
A simple UCI chess engine written in Python.
codeforces
Codeforces Solutions
datascience-ml-2
https://www.datascience.net/fr/challenge/26/details
DeepLearningTasks
Домашка по глубинному обучению в ШАД
dgap_voting
Poll system for DGAP
dosrok.ru
This is going to be another great website hosted by PythonAnywhere.
kaggle-ml-train-1
1st place solution https://inclass.kaggle.com/c/pred-411-2016-04-u2-insurance-a
shad_images_3
3rd place solution https://www.kaggle.com/c/bird-classification3/leaderboard
youtube-8m
Bronze medal solution https://www.kaggle.com/c/youtube8m-2018/leaderboard
alexsyrom's Repositories
alexsyrom/chess-engine
A simple UCI chess engine written in Python.
alexsyrom/kaggle-ml-train-1
1st place solution https://inclass.kaggle.com/c/pred-411-2016-04-u2-insurance-a
alexsyrom/DeepLearningTasks
Домашка по глубинному обучению в ШАД
alexsyrom/youtube-8m
Bronze medal solution https://www.kaggle.com/c/youtube8m-2018/leaderboard
alexsyrom/bioinformatics
Bioinformatics Algorithms (FIVT_Bioinfo) 2017
alexsyrom/codeforces
Codeforces Solutions
alexsyrom/datascience-ml-2
https://www.datascience.net/fr/challenge/26/details
alexsyrom/dgap_voting
Poll system for DGAP
alexsyrom/dosrok.ru
This is going to be another great website hosted by PythonAnywhere.
alexsyrom/shad_images_3
3rd place solution https://www.kaggle.com/c/bird-classification3/leaderboard
alexsyrom/informatics
Solutions of problems on informatics.mccme.ru
alexsyrom/nlp-diht
Тексты на Физтехе
alexsyrom/ProjectEuler
My solutions of Project Euler tasks
alexsyrom/scikit-learn
scikit-learn: machine learning in Python
alexsyrom/shad_bigdata
Задания по bigdata в ШАД
alexsyrom/shad_images_1
Конкурс на распознавание знаков
alexsyrom/shad_ml_2_3
https://inclass.kaggle.com/c/competition-3-yandex-shad-fall-2016
alexsyrom/SHAD_ML_KAGGLE_1
Первое соревнование по машинке
alexsyrom/SHAD_ML_KAGGLE_2
alexsyrom/tinkoff
Tinkoff Data Science Challenge
alexsyrom/YSDA_deeplearning17
Our humble deep learning class. Using materials from https://github.com/ddtm/dl-course