shinypond

shinypond

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Company:Seoul National University

Location:Seoul, South Korea

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shinypond's starred repositories

stable-diffusion

A latent text-to-image diffusion model

Language:Jupyter NotebookLicense:NOASSERTIONStargazers:68334Issues:557Issues:713

yolov5

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

Language:PythonLicense:AGPL-3.0Stargazers:50831Issues:369Issues:9301

Interview_Question_for_Beginner

:boy: :girl: Technical-Interview guidelines written for those who started studying programming. I wish you all the best. :space_invader:

License:MITStargazers:19745Issues:493Issues:0

instant-ngp

Instant neural graphics primitives: lightning fast NeRF and more

Language:CudaLicense:NOASSERTIONStargazers:16024Issues:204Issues:1026

Swin-Transformer

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

Language:PythonLicense:MITStargazers:13894Issues:126Issues:314

pygwalker

PyGWalker: Turn your pandas dataframe into an interactive UI for visual analysis

Language:PythonLicense:Apache-2.0Stargazers:13355Issues:80Issues:216

tianshou

An elegant PyTorch deep reinforcement learning library.

Language:PythonLicense:MITStargazers:7958Issues:93Issues:746

stylegan3

Official PyTorch implementation of StyleGAN3

Language:PythonLicense:NOASSERTIONStargazers:6434Issues:55Issues:256

LTSF-Linear

[AAAI-23 Oral] Official implementation of the paper "Are Transformers Effective for Time Series Forecasting?"

Language:PythonLicense:Apache-2.0Stargazers:2013Issues:17Issues:112

Autoformer

About Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), https://arxiv.org/abs/2106.13008

Language:Jupyter NotebookLicense:MITStargazers:1966Issues:15Issues:208

rainbow-is-all-you-need

Rainbow is all you need! A step-by-step tutorial from DQN to Rainbow

Language:Jupyter NotebookLicense:MITStargazers:1869Issues:26Issues:32

PPO-PyTorch

Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch

Language:PythonLicense:MITStargazers:1714Issues:9Issues:61

torchsde

Differentiable SDE solvers with GPU support and efficient sensitivity analysis.

Language:PythonLicense:Apache-2.0Stargazers:1583Issues:34Issues:79

state-spaces

Sequence Modeling with Structured State Spaces

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:1389Issues:45Issues:111

stylegan-xl

[SIGGRAPH'22] StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets

Language:PythonLicense:MITStargazers:964Issues:37Issues:107

projected-gan

[NeurIPS'21] Projected GANs Converge Faster

Language:PythonLicense:MITStargazers:885Issues:33Issues:101

pg-is-all-you-need

Policy Gradient is all you need! A step-by-step tutorial for well-known PG methods.

Language:Jupyter NotebookLicense:MITStargazers:860Issues:11Issues:12

denoising-diffusion-gan

Tackling the Generative Learning Trilemma with Denoising Diffusion GANs https://arxiv.org/abs/2112.07804

Language:PythonLicense:NOASSERTIONStargazers:697Issues:33Issues:40

SSSD

Repository for the paper: 'Diffusion-based Time Series Imputation and Forecasting with Structured State Space Models'

Language:PythonLicense:MITStargazers:277Issues:9Issues:27

pfhedge

PyTorch-based framework for Deep Hedging

Language:PythonLicense:MITStargazers:261Issues:19Issues:174
Language:PythonLicense:Apache-2.0Stargazers:259Issues:3Issues:29

deephedging

Implementation of the vanilla Deep Hedging engine

Language:Jupyter NotebookLicense:GPL-3.0Stargazers:234Issues:13Issues:2

deep-time-series

Deep learning PyTorch library for time series forecasting

Language:PythonLicense:Apache-2.0Stargazers:118Issues:1Issues:10

AirFormer

PyTorch implementation of AirFormer, AAAI-23

Loci

Learning What and Where – Unsupervised Disentangling Location and Identity Tracking

Language:PythonLicense:MITStargazers:20Issues:2Issues:2

ood_detection

Out-of-Distribution Detection for VAE, GLOW

Language:Jupyter NotebookLicense:MITStargazers:5Issues:1Issues:0

q-learning_with_bounded_naf

The implementation for the paper Continuous Deep Q-Learning in Optimal Control Problems: Normalized Advantage Functions Analysis // NeurIPS 2022

Language:PythonLicense:Apache-2.0Stargazers:4Issues:1Issues:0

Recurrent-Deep-Q-Learning

Solving POMDP using Recurrent networks

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