akhanss
Research Engineer
Kim Jaechul Graduate School of Artificial Intelligence, KAISTDaejeon, South Korea.
Pinned Repositories
akhanss
albumentations
fast image augmentation library and easy to use wrapper around other libraries
awesome-gan-for-medical-imaging
Awesome GAN for Medical Imaging
azam.github.io
BA-KU
Repository for Business Analytics at Korea University
bangla-programming-resources
Bangla tutorial, reference and resource list on programming topics
BraTS-2020
A complete pipeline for BraTS 2020
Deep-Learning-Papers-Reading-Roadmap
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
nyc-taxi-trip-duration
Interactive Data Visualization - NYC Taxi Trip Duration
pytorch-template
PyTorch deep learning projects made easy.
akhanss's Repositories
akhanss/BraTS-2020
A complete pipeline for BraTS 2020
akhanss/nyc-taxi-trip-duration
Interactive Data Visualization - NYC Taxi Trip Duration
akhanss/Deep-Learning-Papers-Reading-Roadmap
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
akhanss/pytorch-template
PyTorch deep learning projects made easy.
akhanss/akhanss
akhanss/albumentations
fast image augmentation library and easy to use wrapper around other libraries
akhanss/awesome-gan-for-medical-imaging
Awesome GAN for Medical Imaging
akhanss/azam.github.io
akhanss/BA-KU
Repository for Business Analytics at Korea University
akhanss/bangla-programming-resources
Bangla tutorial, reference and resource list on programming topics
akhanss/data-science-ipython-notebooks
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
akhanss/DataScienceCourse
This holds iPython notebooks and lecture slides for the Intro to Data Science Master's course I teach at NYU.
akhanss/Deep-Forecast
The code of the paper 'Deep Forecast : Deep Learning-based Spatio-Temporal Forecasting", ICML Time Series Workshop 2017.
akhanss/deep-learning-colonoscopy
Review in Deep Learning for Polyp Detection and Classification in Colonoscopy (https://doi.org/10.1016/j.neucom.2020.02.123).
akhanss/dev-data-products
Developing Pata Products Coursera Project
akhanss/Google-Landmark-Retrieval-Challenge
akhanss/hyperas
Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization
akhanss/kaggletils
akhanss/ml-class
Materials for class on machine learning/deep learning using scikit-learn, tensorflow and keras
akhanss/ML-KU
Introduction to Machine Learning at Korea University
akhanss/models
Models and examples built with TensorFlow
akhanss/off_parser
Parses OFF (Object File Format) 3D model files to a class container. Includes helper functions for downloading and parsing publicly available datasets.
akhanss/paper-tips-and-tricks
Best practice and tips & tricks to write scientific papers in LaTeX, with figures generated in Python or Matlab.
akhanss/pr-spring-2017
Pattern recognition term project code and data
akhanss/pytorch-cheatsheet
Check out improved:
akhanss/pytorch-Deep-Learning
Deep Learning (with PyTorch)
akhanss/pytorch-kaggle-starter
Pytorch starter kit for Kaggle competitions
akhanss/pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers
akhanss/stock-trading-bot
Day trades stocks in Python.
akhanss/wordvectors
Pre-trained word vectors of 30+ languages