Junbum Cha

honeybee. Official implementation of project Honeybee (CVPR 2024)

tuning_playbook. A playbook for systematically maximizing the performance of deep learning models.

noc. Jupyter Notebook

tcl. Official implementation of TCL (CVPR 2023)

Gitako. 🐙 File tree extension for GitHub on Chrome & Firefox & Edge

rq-vae-transformer. The official implementation of Autoregressive Image Generation using Residual Quantization (CVPR '22)

miro. Official PyTorch implementation of MIRO (ECCV 2022)

swad. Official Implementation of SWAD (NeurIPS 2021)

kogpt. KakaoBrain KoGPT (Korean Generative Pre-trained Transformer)

ml-papers. My collection of machine learning papers

tensorfn. Weakly opinionated library for implementing ML models. Less boilerplate, More rigor

mxfont. Official PyTorch implementation of MX-Font (Multiple Heads are Better than One: Few-shot Font Generation with Multiple Localized Experts) ICCV 2021

PyTorch-StudioGAN. StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image generation.

autoalbument. AutoML for image augmentation. AutoAlbument uses the Faster AutoAugment algorithm to find optimal augmentation policies. Documentation - https://albumentations.ai/docs/autoalbument/

lffont. Official PyTorch implementation of LF-Font (Few-shot Font Generation with Localized Style Representations and Factorization) AAAI 2021

SATRN. Official Tensorflow Implementation of SATRN (CVPR Workshop WTDDLE 2020)

DomainBed. DomainBed is a suite to test domain generalization algorithms

dsb2019. https://www.kaggle.com/c/data-science-bowl-2019

AdamP. AdamP: Slowing Down the Slowdown for Momentum Optimizers on Scale-invariant Weights (ICLR 2021)

stargan-v2. StarGAN v2 - Official PyTorch Implementation (CVPR 2020)

wsolevaluation. Evaluating Weakly Supervised Object Localization Methods Right (CVPR 2020)

rexnet. Official Pytorch implementation of ReXNet (Rank eXpansion Network) with pretrained models

dmfont. Official PyTorch implementation of DM-Font (ECCV 2020)

CLEval. CLEval: Character-Level Evaluation for Text Detection and Recognition Tasks

hydra. Hydra is a framework for elegantly configuring complex applications

remote-dataloader. PyTorch DataLoader processed in multiple remote computation machines for heavy data processings

TedEval. TedEval: A Fair Evaluation Metric for Scene Text Detectors

deep-text-recognition-benchmark. Text recognition (optical character recognition) with deep learning methods, ICCV 2019

CRAFT-pytorch. Official implementation of Character Region Awareness for Text Detection (CRAFT)

style-based-gan-pytorch. Implementation A Style-Based Generator Architecture for Generative Adversarial Networks in PyTorch

pytorch-seq2seq. Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

bottom-up-attention-vqa. An efficient PyTorch implementation of the winning entry of the 2017 VQA Challenge.

awesome-deep-text-detection-recognition. A curated list of resources for text detection/recognition (optical character recognition ) with deep learning methods.

git-history. Quickly browse the history of a file from any git repository

rl_algorithms. Structural implementation of RL key algorithms

jax. Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

reinforcement_learning_an_introduction. Summary (in Korean) and python implementation of 'Reinforcement Learning: An Introduction' written by Sutton & Barto

leela-zero. Go engine with no human-provided knowledge, modeled after the AlphaGo Zero paper.

ENAS-pytorch. PyTorch implementation of "Efficient Neural Architecture Search via Parameters Sharing"

bayes-nn. Lecture notes on Bayesian deep learning

DeepNLP-models-Pytorch. Pytorch implementations of various Deep NLP models in cs-224n(Stanford Univ)

ML-From-Scratch. Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

tensorboard-embedding-visualization. Easily visualize embedding on tensorboard with thumbnail images and labels.

imgaug. Image augmentation for machine learning experiments.

DCGAN-tensorflow-slim. Implementation of DCGAN in TensorFlow-Slim

generative-models. Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.