ykwon0407

opendataval

OpenDataVal: a Unified Benchmark for Data Valuation in Python (NeurIPS 2023)

beta_shapley

Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for Machine Learning (AISTATS 2022 Oral)

dagmm-1

A Pytorch implementation of the paper `Deep Autoencoding Gaussian Mixture Model For Unsupervised Anomaly Detection` by Zong et al.

DataInf

DataInf: Efficiently Estimating Data Influence in LoRA-tuned LLMs and Diffusion Models (ICLR 2024)

dataoob

Data-OOB: Out-of-bag Estimate as a Simple and Efficient Data Value (ICML 2023)

fast_dist_shapley

Efficient Computation and Analysis of Distributional Shapley Values (AISTATS 2021)

UQ_BNN

Uncertainty quantification using Bayesian neural networks in classification (MIDL 2018, CSDA)

variational_autoencoder

variational_autoencoder

wdro_local_perturbation

Principled learning method for Wasserstein distributionally robust optimization with local perturbations (ICML 2020)

WeightedSHAP

WeightedSHAP: analyzing and improving Shapley based feature attributions (NeurIPS 2022)

ykwon0407/attention-sentiment

My bachelor's degree thesis (with code and experiments) on sentiment classification of Russian texts using Bi-RNN with attention mechanism.

ykwon0407/ADNet

Action-Decision Networks for Visual Tracking with Deep Reinforcement Learning (CVPR 2017)

ykwon0407/AGE

Code for paper "Adversarial Generator-Encoder Networks" by Dmitry Ulyanov, Andrea Vedaldi and Victor Lempitsky

ykwon0407/ALI

Adversarially Learned Inference

ykwon0407/DeepLearningZeroToAll

TensorFlow Basic Tutorial Labs

ykwon0407/deepmedic

Efficient Multi-Scale 3D Convolutional Neural Network for Brain Lesion Segmentation

ykwon0407/DenseNet

Densely Connected Convolutional Networks, In CVPR 2017 (Best Paper Award).

ykwon0407/dsb-2017

Data Science Bowl 2017

ykwon0407/DSB2017

Code for 2nd place solution to the 2017 National Data Science Bowl

ykwon0407/DSB2017-1

The solution of team 'grt123' in DSB2017

ykwon0407/europilot

A toolkit for controlling Euro Truck Simulator 2 with python to develop self-driving algorithms.

ykwon0407/FRRN

Full Resolution Residual Networks for Semantic Image Segmentation

ykwon0407/gumbel-softmax

categorical variational autoencoder using the Gumbel-Softmax estimator

ykwon0407/gym-tictactoe

OpenAI Gym Style Tic-Tac-Toe Environment

ykwon0407/interviews

Everything you need to know to get the job.

ykwon0407/Kaggle-Carvana-Image-Masking-Challenge

ykwon0407/kaggle_ndsb2017

Kaggle datascience bowl 2017

ykwon0407/medical-data

ykwon0407/MMD-GAN

MMD-GAN: Towards Deeper Understanding of Moment Matching Network

ykwon0407/plumo

ykwon0407/pytorch-cifar

95.16% on CIFAR10 with PyTorch

ykwon0407/rcae

contains the code for models in the paper Robust, Deep and Inductive Anomaly Detection

ykwon0407/reinforcement-learning

Minimal and Clean Reinforcement Learning Examples

ykwon0407/seq2seq

Sequence to Sequence Learning with Keras

ykwon0407/seq2seq-1

A general-purpose encoder-decoder framework for Tensorflow

ykwon0407/tensorflow-mnist-VAE

Tensorflow implementation of variational auto-encoder for MNIST

ykwon0407/tf-rnn-attention

Tensorflow implementation of attention mechanism for text classification tasks.

ykwon0407/tf-SNDCGAN

Tensorflow Implementation of the paper "Spectral Normalization for Generative Adversarial Networks" (ICML 2017 workshop)

ykwon0407/youtube-8m

Starter code for working with the YouTube-8M dataset.

ykwon0407/Youtube-8M-WILLOW

Kaggle Youtube 8M WILLOW approach