hanseungwook Goto Github PK

allennlp

Building meta network on top of the AllenNLP open-source research library (in PyTorch)

alpaca_eval

An automatic evaluator for instruction-following language models. Human-validated, high-quality, cheap, and fast.

basicsr

Open Source Image and Video Restoration Toolbox, especially for Super-Resolution, including EDSR, RCAN, SRResNet, SRGAN, ESRGAN, EDVR, etc. Also support StyleGAN2.

biggan-pytorch

The author's officially unofficial PyTorch BigGAN implementation.

cavia

Building on top of "Fast Context Adaptation via Meta-Learning"

d3re

Repository for "Non-Negative Bregman Divergence Minimization for Deep Direct Density Ratio Estimation".

dgcnn

easyedit

[ACL 2024] An Easy-to-use Knowledge Editing Framework for LLMs.

emotif_integrated

émotif fashion platform

emotif_parse

Backend for émotif with parse-server integration

f-dre

Featurized Density Ratio Estimation

fastchat

An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.

ffn

Public Repo for the paper "Overcoming The Spectral-Bias of Neural Value Approximation"

fq-gan

Official implementation of FQ-GAN

genre-shapehd

Code and data release for GenRe (NeurIPS 2018) and ShapeHD (ECCV 2018)

genrep

google-research

Google Research

hanseungwook.github.io

humanoid_robotics-1

Full fetch task demo/implementation for Fetch robot using object/speech recognition and GraspIt

mdre

Estimating the Density Ratio between Distributions with High Discrepancy using Multinomial Logistic Regression

mitsuba-shapenet

Mitsuba for ShapeNet

naivebayesclassifier_spammessage

Using Naive Bayes Classifier to classify spam messages and achieved to about 99% accuracy with the training and testing data

nanogpt

The simplest, fastest repository for training/finetuning medium-sized GPTs.

not-so-biggan-decoder

not-so-biggan PyTorch implementation

nxn_puzzle_search

othello_ai

Created Othello AI that uses Minimax and Alpha-beta pruning search algorithms to be able to play against humans, itself, or other AI players

progressive_growing_of_gans-pytorch

A PyTorch 0.4 implementation of Progressive Growing of GANs for Improved Quality, Stability and Variability (https://arxiv.org/abs/1710.10196)

pycontrast

PyTorch implementation of Contrastive Learning methods; List of awesome-contrastive-learning papers

pytorch-cifar

95.47% on CIFAR10 with PyTorch

pytorch-cifar100

Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet, WideResNet)