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kaggle_rsna_2nd_place_solution

Notebooks to accompany the blog posts about the 2nd place Kaggle RSNA winners: https://github.com/darraghdog/rsna

karpathy.github.io

my blog

keras-one-cycle

Implementation of One-Cycle Learning rate policy (adapted from Fast.ai lib)

kiamol

Learn Kubernetes in a Month of Lunches

kr-bert-simcse

Implementing SimCSE using KR-BERT

kr-sbert

KoRean based SBERT pre-trained models (KR-SBERT) for PyTorch

kubeflow_tutorials

learning-examples

Code examples for the book Learning Concurrent Programming in Scala

learnkaggle

learnsbt

lookahead

Implementation for the Lookahead Optimizer.

low-rank-bilinear-pooling

Code, demo and model for our project of low rank bilinear pooling for fine-grained classification

machine-learning-systems-design

A booklet on machine learning systems design with exercises

maml

Code for "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"

markdown-resume

Generate a responsive CSS3 and HTML5 resume with Markdown, with optional PDF output.

med-bert

Med-BERT, contextualized embedding model for structured EHR data

mish

Mish: A Self Regularized Non-Monotonic Neural Activation Function

ml-deepranking

ML: Image Processing - visualsearch using DeepRanking concept

mlspark

machine learning with spark 소스코드

mmarco

A multilingual version of MS MARCO passage ranking dataset

mobiledeeppill

Mobile Deep Pill for android

models

Models and examples built with TensorFlow

mrpt

Approximate Nearest Neighbour Search with Multiple Random Projection Trees

multigrain

Code for "MultiGrain: a unified image embedding for classes and instances"

multilingual-t5

mysnippet

neural-image-assessment

Implementation of NIMA: Neural Image Assessment in Keras

nlp-with-transformers

<트랜스포머를 활용한 자연어 처리> 예제 코드를 위한 저장소입니다.

nmt

TensorFlow Neural Machine Translation Tutorial

nn_calibration

Calibration of Convolutional Neural Networks