chan-y-park Goto Github PK

adanet

Fast and flexible AutoML with learning guarantees.

chan-y-park.github.io

Chan's GitHub Pages

confident_classifier

Training Confidence-Calibrated Classifier for Detecting Out-of-Distribution Samples / ICLR 2018

cproj

Produce a Coxeter projection diagram

cvpr2018-hnd

CVPR 2018 Hierarchical Novelty Detection for Visual Object Recognition

dcgan

TensorFlow implementation of deep convolutional generative adversarial network

deep-learning-benchmark

Deep Learning Benchmark for comparing the performance of DL frameworks, GPUs, and single vs half precision

dnc

TensorFlow implementation of differentiable neural computer

dproj

Sage script for Donagi projection

draw

graph_nets

Build Graph Nets in Tensorflow

img2txt

End-to-end deep learning model for image captioning

ipam_tutorial_2019

Notebooks for IPAM Tutorial, March 15 2019

khaiii

Kakao Hangul Analyzer III

loom

Python program to generate, draw, and analyze spectral networks of class S theories

ml-sghmc

Experiment code for Stochastic Gradient Hamiltonian Monte Carlo

models

Models built with TensorFlow

mose

MOduli Space Explorer

nbserver

IPython notebook server profiles and notebook files

notebook_results

A GitHub repository to store Mathematica and Jupyter notebook results

openrec

OpenRec is an open-source and modular library for neural network-inspired recommendation algorithms

poincare-embeddings

PyTorch implementation of the NIPS-17 paper "Poincaré Embeddings for Learning Hierarchical Representations"

probabilistic-models

A collection of probabilistic models

pytorch_geometric

Geometric Deep Learning Extension Library for PyTorch

recruit

Job Descriptions

recsys-old

resume

Chan's resume

reveal.js

The HTML Presentation Framework

rl-atari

Reinforcement learning with Atari games, TensorFlow, and OpenAI Gym

rust-exercise

Codes from "The Rust Programming Language book"