Minchul Shin

gans-awesome-applications. Curated list of awesome GAN applications and demo

pggan-pytorch. :fire::fire: PyTorch implementation of "Progressive growing of GANs (PGGAN)" :fire::fire:

DeLF-pytorch. PyTorch Implementation of "Large-Scale Image Retrieval with Attentive Deep Local Features"

gans-collection.torch. Torch implementation of various types of GAN (e.g. DCGAN, ALI, Context-encoder, DiscoGAN, CycleGAN, EBGAN, LSGAN)

progressive-growing-torch. Torch implementation of "PROGRESSIVE GROWING OF GANS FOR IMPROVED QUALITY, STABILITY, AND VARIATION"

text2image-benchmark. Performance comparison of existing GAN based Text To Image algorithms. (GAN-CLS, StackGAN, TAC-GAN)

rtic-gcn-pytorch. Official PyTorch Implementation of RITC

FashionIQChallenge2020. 2nd Place Team's Solution for Fashion IQ Challenge 2020

dense-equi-torch. Torch7 implementation of Unsupervised object learning from dense equivariant image labelling

pixel-dt-gan-pytorch. Pytorch implementation of pixel level domain transfer

facial-expression-recognition-using-Caffe. This is very basic code for facial expression recognition using Caffe.

agent-cockpit. Live terminal cockpit for token usage, cost, and speed across your coding agents (Claude Code, Codex, Gemini). Local-only, no upload.

rl-tutorial-by-games. Game collection trained by SOTA reinforcement learning algorithms for tutorial

loader-torch. An Multi-threaded Data Loader Module for Torch.

image_converter. Multi-threaded image converter for easy image preprocessing for torch.

pixel-level-dt-torch. Torch implementation of "Pixel-Level Domain Transfer"

BEGAN-torch7. Torch implementation of BEGAN: Boundary Equilibrium Generative Adversarial Networks

ModelZoo-torch. Model Zoo for torch7 (no need to use loadcaffe module)

simulated-unsupervised-pytorch. PyTorch implementation of "Learning from Simulated and Unsupervised Images through Adversarial Training"

link.

irbench-python. Image Retrieval Performance Benchmark Tool for Large-scale Dataset

rl-playground. my playground for testing RL-algorithms implemented in pytorch

newest-ML-trends. A Introduction and analysis of latest deep learning techniques.

caffe-easystart. Caffe training template for easy implementation

PTAM-GPL. PTAM (Parallel Tracking and Mapping) re-released under GPLv3.

diffusion-awesome-applications.

agx. Desktop and CLI control plane for parallel coding agents with worktrees, tmux sessions, and optional Discord control.

llms-awesome-applications.