Pinned Repositories
ai502-ta-session
Jupyter notebook used in TA session for AI 502 (Deep Learning)
amortized_svgd
A pytorch implementation of Amortized Stein Variational Gradient Descent/ Stein GAN
connectivity-tangent-kernel
Official code implementation of "Scale-invariant Bayesian Neural Networks with Connectivity Tangent Kernel" (ICLR 2023 Spotlighted)
Deep_RL_with_pytorch
A pytorch tutorial for DRL(Deep Reinforcement Learning)
DVIB
A pytorch implementation of DVIB(Deep Variational Information Bottleneck)
GBML
A collection of Gradient-Based Meta-Learning Algorithms with pytorch
gex
Official code implementation of "GEX: A flexible method for approximating influence via Geometric Ensemble" (NeurIPS 2023)
hands_on_jax
Simple codes for JAX in practice
MCDO
A pytorch implementation of MCDO(Monte-Carlo Dropout methods)
MINE-Mutual-Information-Neural-Estimation-
A pytorch implementation of MINE(Mutual Information Neural Estimation)
sungyubkim's Repositories
sungyubkim/MINE-Mutual-Information-Neural-Estimation-
A pytorch implementation of MINE(Mutual Information Neural Estimation)
sungyubkim/Deep_RL_with_pytorch
A pytorch tutorial for DRL(Deep Reinforcement Learning)
sungyubkim/GBML
A collection of Gradient-Based Meta-Learning Algorithms with pytorch
sungyubkim/gex
Official code implementation of "GEX: A flexible method for approximating influence via Geometric Ensemble" (NeurIPS 2023)
sungyubkim/hands_on_jax
Simple codes for JAX in practice
sungyubkim/ai502-ta-session
Jupyter notebook used in TA session for AI 502 (Deep Learning)
sungyubkim/connectivity-tangent-kernel
Official code implementation of "Scale-invariant Bayesian Neural Networks with Connectivity Tangent Kernel" (ICLR 2023 Spotlighted)
sungyubkim/if_classic
A brief notebook on Influence Function (IF) for classical generative models (e.g., k-NN, KDE, GMM)
sungyubkim/GP-Works
A brief visualization of how GP(Gradient Penalty) for GAN works
sungyubkim/example
example
sungyubkim/maml-pytorch
A pytorch implementation of Model Agnostic Meta-Learning (MAML)
sungyubkim/mnc
Monitor and Click "NEXT"
sungyubkim/sungyubkim.github.io
Github blog
sungyubkim/active-bayesian-coresets
sungyubkim/BatchBALD
Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning.
sungyubkim/BicycleGAN
Toward Multimodal Image-to-Image Translation
sungyubkim/ChebyKAN
Kolmogorov-Arnold Networks (KAN) using Chebyshev polynomials instead of B-splines.
sungyubkim/cifar_jax
A simple implementation of CIFAR training with JAX.
sungyubkim/DPP-Batch-Active-Learning
sungyubkim/gold
Mining GOLD Samples for Conditional GANs (NeurIPS 2019)
sungyubkim/jax-resnet
Implementations and checkpoints for ResNet, Wide ResNet, ResNeXt, ResNet-D, and ResNeSt in JAX (Flax).
sungyubkim/KAIST-AI-LAB-20190724
sungyubkim/Learning_to_Learn_via_Self-Critique
The original code for the paper "Learning to Learn via Self-Critique".
sungyubkim/per
Prioritized Experience Replay (PER) implementation in PyTorch
sungyubkim/pytorch-CycleGAN-and-pix2pix
Image-to-Image Translation in PyTorch
sungyubkim/sam
sungyubkim/SupContrast
PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)
sungyubkim/torchlars
A LARS implementation in PyTorch
sungyubkim/vqave-jax
sungyubkim/WideResNet-pytorch
Wide Residual Networks (WideResNets) in PyTorch