Sung-Yub Kim's repositories

MINE-Mutual-Information-Neural-Estimation-

A pytorch implementation of MINE(Mutual Information Neural Estimation)

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Deep_RL_with_pytorch

A pytorch tutorial for DRL(Deep Reinforcement Learning)

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GBML

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

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gex

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

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hands_on_jax

Simple codes for JAX in practice

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ai502-ta-session

Jupyter notebook used in TA session for AI 502 (Deep Learning)

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connectivity-tangent-kernel

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

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if_classic

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

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GP-Works

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

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example

example

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maml-pytorch

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

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mnc

Monitor and Click "NEXT"

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BatchBALD

Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning.

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BicycleGAN

Toward Multimodal Image-to-Image Translation

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ChebyKAN

Kolmogorov-Arnold Networks (KAN) using Chebyshev polynomials instead of B-splines.

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cifar_jax

A simple implementation of CIFAR training with JAX.

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gold

Mining GOLD Samples for Conditional GANs (NeurIPS 2019)

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jax-resnet

Implementations and checkpoints for ResNet, Wide ResNet, ResNeXt, ResNet-D, and ResNeSt in JAX (Flax).

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Learning_to_Learn_via_Self-Critique

The original code for the paper "Learning to Learn via Self-Critique".

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per

Prioritized Experience Replay (PER) implementation in PyTorch

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pytorch-CycleGAN-and-pix2pix

Image-to-Image Translation in PyTorch

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SupContrast

PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)

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torchlars

A LARS implementation in PyTorch

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WideResNet-pytorch

Wide Residual Networks (WideResNets) in PyTorch

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