Gewissta's Stars
statist-bhfz/data.table_doc_ru
Перевод документации по data.table
statist-bhfz/julia_stats
Изучаем Julia
statist-bhfz/dplyr_doc_ru
Перевод документации по dplyr
statist-bhfz/resampleR
resampleR
statist-bhfz/h2o_book_translate
Дополнительные материалы к переводу книги "Practical Machine Learning with H2O"
statist-bhfz/augmentatoR
augmentatoR
statist-bhfz/catboost_tune
custom catboost tuning
statist-bhfz/cheatsheets-ai
Essential Cheat Sheets for deep learning and machine learning researchers
statist-bhfz/deep-learning-papers
Papers about deep learning ordered by task, date. Current state-of-the-art papers are labelled.
statist-bhfz/ICIAR2018_BACH_Challenge
statist-bhfz/ML-From-Scratch
Bare bones Python implementations of various Machine Learning models and algorithms.
statist-bhfz/MLAlgorithms
Minimal and clean examples of machine learning algorithms
statist-bhfz/r_exp
R experiments
statist-bhfz/rlang_manual_ru
Перевод The R language definition
statist-bhfz/statist-bhfz.github.io
home page
statist-bhfz/courses
fast.ai Courses
statist-bhfz/dl-setup
Instructions for setting up the software on your deep learning machine
statist-bhfz/ggplus
A set of additional functions for ggplot2
statist-bhfz/kaggle-rossman-store-sales
Solution for Kaggle Rossmann Store Sales Competition
statist-bhfz/keras
R Interface to Keras
statist-bhfz/libRmath.js
Javascript Pure Implementation of Statistical R "core" numerical libRmath.so
statist-bhfz/ml-fish-dataset_editor
statist-bhfz/mxnet
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
statist-bhfz/rstudio-conf
Materials for rstudio::conf
statist-bhfz/the-art-of-command-line
Master the command line, in one page
statist-bhfz/tinydnn
Tiny yet Powerful Deep Neural Networks
statist-bhfz/UNet11
UNet model with VGG11 encoder pre-trained on Kaggle Carvana dataset
statist-bhfz/user_group_kiev
using R in clinical trials
statist-bhfz/vvedenie-mashinnoe-obuchenie
:memo: Подборка ресурсов по машинному обучению