sharkzeeh's Stars
ilsersokolov/dlcourse_ai_hw
shereshevskiy/dlcourse_ai
Материалы курса Deep Learning на пальцах
Nana-web/Deep_learning
dlcourse_ai
sim0nsays/dlcourse_ai
Материалы курса Deep Learning на пальцах
rasbt/deeplearning-models
A collection of various deep learning architectures, models, and tips
bumbari/Stepic-FP-Haskell
Stepic - Функциональное программирование на языке Haskell
luisguiserrano/manning
Repository for the book Grokking Machine Learning, by Manning Editors
walkccc/CLRS
📚 Solutions to Introduction to Algorithms Third Edition
Se7ge/csc
eugenedobro/CppStepIC
C++ programming
shenweichen/Coursera
Quiz & Assignment of Coursera
pythonbravo/oil_price
Machine Learning to predict share prices in the Oil & Gas Industry
tamiminaser/DCA_using_RNN
Automatic Decline Curve Analysis Using a Deep RNN (Recurrent Neural Network).
cjayidoko/AAPG_Hackaton
#Hackton organized by American Association of Petroleum geologists (AAPG) in Houston on July 2018 #Given a dataset of oil,gas, and water production (volve_oil) containing both monthly and daily productions. #Final Goal is to apply LSTM on this dataset and predict the production ##given the parameters measured during production
joylin1984/Time-Series-Analysis-Well-Production-Decline
This work attempts to fit an ARIMA model to the classic decline curve analysis of production data of Oil and Gas wells.
dunovank/jupyter-themes
Custom Jupyter Notebook Themes
seg/tutorials-2016
Geophysical Tutorials for 2016
demidovakatya/mashinnoye-obucheniye
:books: Специализация «Машинное обучение и анализ данных»
alisa-ludezh/image_analysis
IvanGordiychuk/training-in-labeled-data
задание первой недели
Filareth2015/DA_and_ML_Python
maxis42/Machine-Learning-and-Data-Analysis-Coursera-Yandex-MIPT
Machine Learning and Data Analysis Coursera Specialization from Yandex and MIPT
Yorko/mlcourse.ai
Open Machine Learning Course
ArtyomKoush/EventDatabase
magom001/c-plus-plus-yellow-belt-final-assignment
avtomato/Basics-of-C-plus-plus-development-yellow-belt
Основы разработки на C++: жёлтый пояс by Moscow Institute of Physics and Technology & Yandex
microsoft/LightGBM
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.
avtomato/Basics-of-C-plus-plus-development-white-belt
Основы разработки на C++: белый пояс by Moscow Institute of Physics and Technology & Yandex
johnkorn/ml-spec
Code for Coursera's Machine Learning and Data Analysis specialization
adashofdata/muffin-cupcake
classifying muffin and cupcake recipes using support vector machines