alexander-rakhlin Goto Github PK

agentnet

A lightweight library to build and train Deep Reinforcement Learning agents using Theano+Lasagne

albumentations

fast image augmentation library and easy to use wrapper around other libraries

albumentations.ai

albumentations.ai site

alexander-rakhlin.github.io

awesome-remote-job

A curated list of awesome remote jobs and resources. Inspired by https://github.com/vinta/awesome-python

breastpathq

caffenet-benchmark

Evaluation of the CNN design choices performance on ImageNet-2012.

cnn-for-sentence-classification-in-keras

Convolutional Neural Networks for Sentence Classification in Keras

coloc

Methods for measuring co-localization of ion images

create-your-own-adventure

deepcycle

code for DeepCycle paper

deepesn

Deep Echo State Network (DeepESN) Python library

deepmind-teaching-machines-to-read-and-comprehend

Implementation of "Teaching Machines to Read and Comprehend" proposed by Google DeepMind

eccv2016

Code to replicate "Generating Visual Explanations"

efficientnet

Implementation on EfficientNet model. Keras.

embl_project

esn

Echo State Networks

facebook-v-predicting-check-ins

Solution that finished on 38 position among 1212 teams (top 10%)

fcn.berkeleyvision.org

Fully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Trevor Darrell. CVPR 2015.

flavours-of-physics

Solution to the Kaggle "Flavours of Physics" competition nominated for "HEP meets ML" award

ganhacks

starter from "How to Train a GAN?" at NIPS2016

he_stained_fg_extraction

Foreground Extraction from Histopathological H&E stained Whole-Slide Images

iciar2018

Our solution for ICIAR 2018 Grand Challenge

ikc

Implementation of 'Blind Super-Resolution With Iterative Kernel Correction' (CVPR2019)

kaggle-telstra

My code for Telstra Network Disruptions Kaggle competition

kaggle-yelp

kaggle_drd

Kaggle: Diabetic Retinopathy Detection

kaggle_otto

Kaggle: Otto Group Product Classification Challenge

kaggle_otto-adam-

Kaggle Otto Group Product Classification Challenge

kaggle_pbr

My best submission to the Kaggle competition "Predicting a Biological Response", ranked 17th over 711 teams.