statist-bhfz

data.table_doc_ru

Перевод документации по data.table

julia_stats

Изучаем Julia

resampleR

resampleR

h2o_book_translate

Дополнительные материалы к переводу книги "Practical Machine Learning with H2O"

augmentatoR

augmentatoR

grideR

grideR

r_tf_doc_ru

catboost_tune

custom catboost tuning

cheatsheets-ai

Essential Cheat Sheets for deep learning and machine learning researchers

deep-learning-papers

Papers about deep learning ordered by task, date. Current state-of-the-art papers are labelled.

ICIAR2018_BACH_Challenge

stackeR

stackeR

statist-bhfz.github.io

home page

courses

fast.ai Courses

keras

R Interface to Keras

libRmath.js

Javascript Pure Implementation of Statistical R "core" numerical libRmath.so

ml-fish-dataset_editor

mxnet

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

rstudio-conf

Materials for rstudio::conf

UNet11

UNet model with VGG11 encoder pre-trained on Kaggle Carvana dataset

vvedenie-mashinnoe-obuchenie

:memo: Подборка ресурсов по машинному обучению

CatBoost

Feeding-TensorFlow-from-drive-MNIST-Example

This python example demonstrates how to feed TensorFlow from drive to reduce memory requirements

ml_mlr3

Презентация по mlr3

mlr3learners

Recommended learners for mlr3

mlr3learners.lightgbm

Learners from {lightgbm} for mlr3

recipes

A preprocessing engine to generate design matrices

SPROF-GO

Fast and accurate protein function prediction from sequence through pretrained language model and homology-based label diffusion

swarm-quickdraw-doodle-recognition

Quick, Draw! Doodle Recognition Challenge code

torchvision

R interface to torchvision