pablitocho Goto Github PK

1st-kakao-blind-recruitment-tdd-exam

카카오 신입 공채 1차 코딩 테스트 문제 연습풀이

3dconv-autoencoder

Simple keras implementation of 3D convolutional autoencoder (which can be stacked)

abstract-interface-example

A simple java app that shows how abstract classes and interfaces work

apress-ai

autoencoder-registration

Large-scale 3D image registration based on spatial transformers and stacked convolutional autoencoders

awesome-deep-learning-papers

The most cited deep learning papers

bidirectiona-lstm-for-text-summarization-

A bidirectional encoder-decoder LSTM neural network is trained for text summarization on the cnn/dailymail dataset. (MIT808 project)

binet

This is the complementary code repository for the BINet papers.

building-recommendation-engines

Building Recommendation Engines by Packt

calculator

Calculator implemented in Python

categorypov

Bayesian hierarchical time series modelling of Nielsen panel data

cifar-10-cnn

Using cifar-10 datasets to learn deep learning.

climdata-agroindex

climdown

PCIC's Daily Climate Downscaling Library

clusterr

Gaussian mixture models, k-means, mini-batch-kmeans and k-medoids clustering

cmip5_p50_tuna

Code for reproducing the analyses in "Projections of climate driven changes in tuna vertical habitat based on species-specific differences in blood oxygen affinity"

coding-interview-questions-python-implementations

Python implementations of problems in 'Coding Interview Questions' written by Narasimha Karumanchi

data-analysis-and-machine-learning-projects

Repository of teaching materials, code, and data for my data analysis and machine learning projects.

deep-learning-from-scratch

『밑바닥부터 시작하는 딥러닝』(한빛미디어, 2017)

deep-learning-with-keras

Code repository for Deep Learning with Keras published by Packt

deep-learningai

🇦🇮 Deep Learning AI course on Coursera (Andrew Ng)

deepai

Detection of Accounting Anomalies using Deep Autoencoder Neural Networks - A lab we prepared for NVIDIA's GPU Technology Conference 2018 that will walk you through the detection of accounting anomalies using deep autoencoder neural networks. The majority of the lab content is based on Jupyter Notebook, Python and PyTorch.

draw_convnet

dsb3tutorial

ethereumbook

Mastering Ethereum, by Andreas M. Antonopoulos, Gavin Wood

facenet

Face recognition using Tensorflow

fastcampus-sns

googlenet

here is my implementation of the basic googLeNet describe in the paper "Going Deeper with Convolutions" in keras

humiditypredrnn

UCI time series data of air quality of various parameters like NOx, CO, etc are processed for 1 year with 1 hour epoch. LSTM with keras is used to predict absolute humidity of a day using multivariate method. RMSE obtained around 12

ice_diag_cesm

Diagnosing delta 18O and delta D in sea ice in cesm