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active-bayesian-coresets

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

augmented_cyclegan

batchbald

Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning.

bicyclegan

Toward Multimodal Image-to-Image Translation

chebykan

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

cifar_jax

A simple implementation of CIFAR training with JAX.

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)

dpp-batch-active-learning

dvib

A pytorch implementation of DVIB(Deep Variational Information Bottleneck)

example

example

exercises-in-programming-style

Comprehensive collection of programming styles using a simple computational task, term frequency

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)

gold

Mining GOLD Samples for Conditional GANs (NeurIPS 2019)

gp-works

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

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)

jax-resnet

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

kaist-ai-lab-20190724

learning_to_learn_via_self-critique

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

maml-pytorch

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

mcdo

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

mine-mutual-information-neural-estimation-

A pytorch implementation of MINE(Mutual Information Neural Estimation)

mnc

Monitor and Click "NEXT"

per

Prioritized Experience Replay (PER) implementation in PyTorch

pytorch-cyclegan-and-pix2pix

Image-to-Image Translation in PyTorch

sam