Sung-Yub Kim

MINE-Mutual-Information-Neural-Estimation-. A pytorch implementation of MINE(Mutual Information Neural Estimation)

Deep_RL_with_pytorch. A pytorch tutorial for DRL(Deep Reinforcement Learning)

GBML. A collection of Gradient-Based Meta-Learning Algorithms with pytorch

MCDO. A pytorch implementation of MCDO(Monte-Carlo Dropout methods)

amortized_svgd. A pytorch implementation of Amortized Stein Variational Gradient Descent/ Stein GAN

gex. Official code implementation of "GEX: A flexible method for approximating influence via Geometric Ensemble" (NeurIPS 2023)

DVIB. A pytorch implementation of DVIB(Deep Variational Information Bottleneck)

hands_on_jax. Simple codes for JAX in practice

if_classic. A brief notebook on Influence Function (IF) for classical generative models (e.g., k-NN, KDE, GMM)

connectivity-tangent-kernel. Official code implementation of "Scale-invariant Bayesian Neural Networks with Connectivity Tangent Kernel" (ICLR 2023 Spotlighted)

ai502-ta-session. Jupyter notebook used in TA session for AI 502 (Deep Learning)

mnc. Monitor and Click "NEXT"

GP-Works. A brief visualization of how GP(Gradient Penalty) for GAN works

example. example

maml-pytorch. A pytorch implementation of Model Agnostic Meta-Learning (MAML)