Hyoencheol

korean-dpo-collector. 지식 그래프 기반 한국어 멀티모달 DPO 선호 데이터 수집 + LoRA 학습 UI

RAG-Anything. "RAG-Anything: All-in-One RAG Framework"

Automodel. 🚀 Pytorch Distributed native training library for LLMs/VLMs with OOTB Hugging Face support

awesome-openclaw-skills. The awesome collection of OpenClaw skills. 5,400+ skills filtered and categorized from the official OpenClaw Skills Registry.🦞

AutoRAG. AutoRAG: Now your agent can find anything in your computer. It gets smarter if you are using it frequently.

deepagents. The batteries-included agent harness.

Hammer. Hammer: Robust Function-Calling for On-Device Language Models via Function Masking

grok-prompts. Prompts for our Grok chat assistant and the `@grok` bot on X.

CHORES. Collaborative HOme Robot Engine System

awesome-mcp-servers. A collection of MCP servers.

SafeDreamer. ICLR 2024: SafeDreamer: Safe Reinforcement Learning with World Models

discriminating-hyperplane. Source code of "Safety Filters for Black-Box Dynamical Systems by Learning Discriminating Hyperplanes"

SAM3_with_upsample_anything.

STAND. Labels Matter More Than Models: Quantifying the Benefit of Supervised Time Series Anomaly Detection

omnisafe. JMLR: OmniSafe is an infrastructural framework for accelerating SafeRL research.

Time-Series-Library. A Library for Advanced Deep Time Series Models for General Time Series Analysis.

Upsample-Anything_Pytorch. Official Implementation of Upsample Anything: A Simple and Hard to Beat Baseline for Feature Upsampling

Upsample-Anything. "Gaussian Splatting-Based Joint Bilateral Upsampling for Feature Upsampling" project page

PPO_Lagrangian_PyTorch. Implementation of PPO Lagrangian in PyTorch

milanganai.github.io. Python

Implicit_Safe_Set_Algorithm. Python

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

DETRIS. [AAAI-2025] The official code of Densely Connected Parameter-Efficient Tuning for Referring Image Segmentation

efppo. Python

safe_near_optimal_mdp. Safe Reinforcement Learning in Constrained Markov Decision Processes

google-research. Google Research

HEBO. Bayesian optimisation & Reinforcement Learning library developed by Huawei Noah's Ark Lab

Awesome-Multimodal-Referring-Segmentation. [IJCV 2026] Multimodal Referring Segmentation

hbp001.github.io. AIS-LLM

SAR_det. hi

RMSIN. Rotated Multi-Scale Interaction Network for Referring Remote Sensing Image Segmentation

HAT. CVPR2023 - Activating More Pixels in Image Super-Resolution Transformer TPAMI - HAT: Hybrid Attention Transformer for Image Restoration

NAFNet. The state-of-the-art image restoration model without nonlinear activation functions.

Wavelettention. [CVPRW 2024] Training Models by Wavelet Losses Improves Quantitative and Visual Performance in Single Image Super-Resolution

TEOChat. Official code for TEOChat, the first vision-language assistant for temporal earth observation data (ICLR 2025).

chat2geo. Chat2Geo delivers a ChatGPT-like experience tailored for remote-sensing-based geospatial analysis. Its mission is to democratize geospatial insights at scale by harnessing cutting-edge AI technologies, making advanced analysis accessible to everyone.

Reducing-SAR-EO-Domain-Gap-via-Semantic-Alignment-for-SAR-Segmentation. Reducing SAR-EO Domain Gap via Semantic Alignment for SAR Segmentation (official implementation)

auto_SAR_Ocean_Contrast. autonomous Ocean Contrast Estimation for SAR Images

Awesome-LLM. Awesome-LLM: a curated list of Large Language Model

StegFormer. [AAAI 2024] StegFormer: Rebuilding the Glory of the Autoencoder-Based Steganography

ddim. Denoising Diffusion Implicit Models

Learning-Deep-Hiding. This repo collects the paper list of deep hiding.

Data-driven-Precipitation-Nowcasting-Using-Satellite-Imagery. Official Implementation of Data-Driven Precipitation Nowcasting Using Satellite Imagery (AAAI2025)

Multi-temporal-Change-Detection-Report-Generator.

ProbSevere-LightningCast-A-Deep-Learning-Model-for-Satellite-Based-Lightning-Nowcasting. Reimplementation using PyTorch (not the official code)

middleware-setup. Shell

MFM. [ICLR 2023] Masked Frequency Modeling for Self-Supervised Visual Pre-Training

LlamaFactory. Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)

langchain-kr. LangChain 공식 Document, Cookbook, 그 밖의 실용 예제를 바탕으로 작성한 한국어 튜토리얼입니다. 본 튜토리얼을 통해 LangChain을 더 쉽고 효과적으로 사용하는 방법을 배울 수 있습니다.

Multimodal-GPT. Multimodal-GPT

autotrain-advanced. 🤗 AutoTrain Advanced

LLM. study for LLM scratch, finetune

FiT. [ICML 2024 Spotlight] FiT: Flexible Vision Transformer for Diffusion Model

augmix. AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty

eesarseq. Jupyter/Colab intetrace for sequential SAR change detection on GEE

Awesome_DaeJeon_Restaurant. 대전 맛집 정리

EA-LSS. EA-LSS: Edge-aware Lift-splat-shot Framework for 3D BEV Object Detection

MISO-VFI. Official implementation of "A Multi-In-Single-Out Network for Video Frame Interpolation without Optical Flow"

datachecker. datachecker for me

ADVENT. Adversarial Entropy Minimization for Domain Adaptation in Semantic Segmentation

AdaptSegNet. Learning to Adapt Structured Output Space for Semantic Segmentation, CVPR 2018 (spotlight)

react-study. nomadcoder clone coding

mmyolo. OpenMMLab YOLO series toolbox and benchmark. Implemented RTMDet, RTMDet-Rotated,YOLOv5, YOLOv6, YOLOv7, YOLOv8,YOLOX, PPYOLOE, etc.

Tracking-Anything-with-DEVA. [ICCV 2023] Tracking Anything with Decoupled Video Segmentation

voxelmorph. Unsupervised Learning for Image Registration

WoodScape. The repository containing tools and information about the WoodScape dataset.

GeoPlace_code. Python

PiPa. Official Implementation of PiPa: Pixel- and Patch-wise Self-supervised Learning for Domain Adaptative Semantic Segmentation

satellite-cloud-removal-dip. Satellite cloud removal with Deep Image Prior.

DSFANet. [TGRS 2019] Unsupervised Deep Slow Feature Analysis for Change Detection in Multi-Temporal Remote Sensing Images

ChangeDetectionRepository. This repository contains some python code of some traditional change detection methods or provides their original websites, such as SFA, MAD, and some deep learning-based change detection methods, such as SiamCRNN, DSFA, and some FCN-based methods.

MARS. MARS: Motion-Augmented RGB Stream for Action Recognition

CMKD. Cross-Modality Knowledge Distillation Network for Monocular 3D Object Detection (ECCV 2022 Oral)

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

mmpose. OpenMMLab Pose Estimation Toolbox and Benchmark.

LAVIS. LAVIS - A One-stop Library for Language-Vision Intelligence

Video-ChatGPT. [ACL 2024 🔥] Video-ChatGPT is a video conversation model capable of generating meaningful conversation about videos. It combines the capabilities of LLMs with a pretrained visual encoder adapted for spatiotemporal video representation. We also introduce a rigorous 'Quantitative Evaluation Benchmarking' for video-based conversational models.

CoCa-pytorch. Implementation of CoCa, Contrastive Captioners are Image-Text Foundation Models, in Pytorch

BLIP. PyTorch code for BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation

LLM-in-Vision. Recent LLM-based CV and related works. Welcome to comment/contribute!

ImageBind. ImageBind One Embedding Space to Bind Them All

Video-LLaMA. [EMNLP 2023 Demo] Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video Understanding

ZoeDepth. Metric depth estimation from a single image

dinov2. PyTorch code and models for the DINOv2 self-supervised learning method.

Awesome-Diffusion-Models. A collection of resources and papers on Diffusion Models

stable-diffusion. A latent text-to-image diffusion model

MiniGPT-4. Open-sourced codes for MiniGPT-4 and MiniGPT-v2 (https://minigpt-4.github.io, https://minigpt-v2.github.io/)

stanford_alpaca. Code and documentation to train Stanford's Alpaca models, and generate the data.

multiearth-challenge. Repository for the MultiEarth 2023 public challenge.

ViTPose. The official repo for [NeurIPS'22] "ViTPose: Simple Vision Transformer Baselines for Human Pose Estimation" and [TPAMI'23] "ViTPose++: Vision Transformer for Generic Body Pose Estimation"

I2SB. Python

private-gpt. Complete API layer for private AI applications on local models: RAG, skills, tools, MCP, text-to-sql, and more. Works with any OpenAI-compatible inference server.

diffusion-posterior-sampling. Official pytorch repository for "Diffusion Posterior Sampling for General Noisy Inverse Problems"

pyllama. LLaMA: Open and Efficient Foundation Language Models

llama. Inference code for Llama models

semantic-diffusion-model. Official Implementation of Semantic Image Synthesis via Diffusion Models

VoxelNeXt. Long Range 3D Perception - VoxelNeXt (CVPR 2023)

MM-REACT. Official repo for MM-REACT

ChatCaptioner. Official Repository of ChatCaptioner

Bridge-Prompt. [CVPR2022] Bridge-Prompt: Towards Ordinal Action Understanding in Instructional Videos

Restormer. [CVPR 2022--Oral] Restormer: Efficient Transformer for High-Resolution Image Restoration. SOTA for motion deblurring, image deraining, denoising (Gaussian/real data), and defocus deblurring.

3DMPPE_POSENET_RELEASE. Official PyTorch implementation of "Camera Distance-aware Top-down Approach for 3D Multi-person Pose Estimation from a Single RGB Image", ICCV 2019

mmaction2. OpenMMLab's Next Generation Video Understanding Toolbox and Benchmark

Track-Anything. Track-Anything is a flexible and interactive tool for video object tracking and segmentation, based on Segment Anything, XMem, and E2FGVI.

AirSim. Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research

Segment-and-Track-Anything. An open-source project dedicated to tracking and segmenting any objects in videos, either automatically or interactively. The primary algorithms utilized include the Segment Anything Model (SAM) for key-frame segmentation and Associating Objects with Transformers (AOT) for efficient tracking and propagation purposes.

CropLand-CD. A CNN-transformer Network with Multi-scale Context Aggregation for Fine-grained Cropland Change Detection

Grounded-Segment-Anything. Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything

salt. Segment Anything Labelling Tool

consistency_models. Official repo for consistency models.

CLIP-SAM. Experiment on combining CLIP with SAM to do open-vocabulary image segmentation.

segment-anything. The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

ddrm. [NeurIPS 2022] Denoising Diffusion Restoration Models -- Official Code Repository

DP_GAN. Dual Pyramid Generative Adversarial Networks for Semantic Image Synthesis (BMVC2022)

focal-frequency-loss. [ICCV 2021] Focal Frequency Loss for Image Reconstruction and Synthesis

pytorch-fid. Compute FID scores with PyTorch.

PITI. PITI: Pretraining is All You Need for Image-to-Image Translation

MonoDet. [ICCV21 & WACV23] Monocular 3D Object Detection for Automonous Driving

pix2pixHD. Synthesizing and manipulating 2048x1024 images with conditional GANs

SimVP. The official implementation of the CVPR'22 paper SimVP: Simpler Yet Better Video Prediction.

Masked-Autoregressive-Model-for-Weather-Forecasting. Implicit Stacked Autoregressive Model for Video Prediction (official implementation)

AugSeg. [CVPR'23] Augmentation Matters: A Simple-yet-Effective Approach to Semi-supervised Semantic Segmentation

OpenPCDet. OpenPCDet Toolbox for LiDAR-based 3D Object Detection.

CenterPoint-KITTI. Python

pcd2bin. .pcd to .bin converter (python)

FocalsConv. Focal Sparse Convolutional Networks for 3D Object Detection (CVPR 2022, Oral)

CenterPoint. Python

Awesome-Semi-Supervised-Semantic-Segmentation. A summary of recent semi-supervised semantic segmentation methods

STG-NF. Normalizing Flows for Human Pose Anomaly Detection [ICCV 2023]

Accurate-Interpretable-VAD. An Attribute-based Method for Video Anomaly Detection (TMLR 2025)

AlphaPose. Real-Time and Accurate Full-Body Multi-Person Pose Estimation&Tracking System

Self-Pair-for-Change-Detection. Self-Pair: Synthesizing Changes from Single Source for Object Change Detection in Remote Sensing Imagery (official)

STPLS3D. 🔥 Synthetic and real-world 2d/3d dataset for semantic and instance segmentation (BMVC 2022 Oral)

HRDA. [ECCV22] Official Implementation of HRDA: Context-Aware High-Resolution Domain-Adaptive Semantic Segmentation

denoising-diffusion-pytorch. Implementation of Denoising Diffusion Probabilistic Model in Pytorch

VisDA2022_1st_Place_Solution. Python

W4C22-Simple-Baseline-for-Weather-Forecasting-Using-Spatiotemporal-Context-Aggregation-Network. W4C22-Simple Baseline for Weather Forecasting Using Spatiotemporal Context Aggregation Network (NeurIPS22 Challenge))

Uformer. [CVPR 2022] Official implementation of the paper "Uformer: A General U-Shaped Transformer for Image Restoration".

UBnormal. UBnormal: New Benchmark for Supervised Open-Set Video Anomaly Detection

model-soups. Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time

ST-PlusPlus. [CVPR 2022] ST++: Make Self-training Work Better for Semi-supervised Semantic Segmentation

FDA. Fourier Domain Adaptation for Semantic Segmentation

DAFormer. [CVPR22] Official Implementation of DAFormer: Improving Network Architectures and Training Strategies for Domain-Adaptive Semantic Segmentation

SegFormer. Official PyTorch implementation of SegFormer

Pytorch-UNet. PyTorch implementation of the U-Net for image semantic segmentation with high quality images

BPR. code for `Look Closer to Segment Better: Boundary Patch Refinement for Instance Segmentation`

MagNet. Progressive Semantic Segmentation (CVPR-2021)

UniMatch. [CVPR 2023] Revisiting Weak-to-Strong Consistency in Semi-Supervised Semantic Segmentation

SSL_ELN. This repository contains the official implementation of Semi-supervised Semantic Segmentation with Error Localization Network that has been accepted to 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2022).

adaptive_weight_multi-sensor_fusionnet.

GAN-pytorch. PyTorch implementations of Generative Adversarial Networks.

Copy-Paste-for-Semantic-Segmentation. Unofficial implementation of Copy-Paste method：Simple Copy-Paste is a Strong Data Augmentation Method for Instance Segmentation

data_augmentation. Python

U2PL. [CVPR'22 & IJCV'24] Semi-Supervised Semantic Segmentation Using Unreliable Pseudo-Labels & Using Unreliable Pseudo-Labels for Label-Efficient Semantic Segmentation

monodepth2. [ICCV 2019] Monocular depth estimation from a single image

deeplab-pytorch. PyTorch re-implementation of DeepLab v2 on COCO-Stuff / PASCAL VOC datasets

Numpy-Augmentation. VerticalFlip, HorizontalFlip, GrayScale, RandomShif, RandomCrop, RandomBlur

ChangeStar. Change is Everywhere: Single-Temporal Supervised Object Change Detection in Remote Sensing Imagery (ICCV 2021) https://arxiv.org/abs/2108.07002

techniques. Techniques for deep learning with satellite & aerial imagery

ddpm-cd. Remote Sensing Change Detection using Denoising Diffusion Probabilistic Models

Insta-DM. Learning Monocular Depth in Dynamic Scenes via Instance-Aware Projection Consistency (AAAI 2021)

stereo_semantic_mapping. Try to reproduce results of ECCV paper but far from it. Don't star, this is not my active repo!

BMTT-full-code_. This code is only temporarily open to the public. It will be deleted soon.

awesome-image-translation. Collection of awesome resources on image-to-image translation.

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

renderdoc_for_game_data. Access data with annotations from GTA5 using renderdoc

CrevNet_multi_gpu. 방가방가

STEAL. Official implementation of "Synthetic Temporal Anomaly Guided End-to-End Video Anomaly Detection" (ICCV Workshops 2021: RSL-CV).

attention-module. Official PyTorch code for "BAM: Bottleneck Attention Module (BMVC2018)" and "CBAM: Convolutional Block Attention Module (ECCV2018)"

Attention-Augmented-Conv2d. Implementing Attention Augmented Convolutional Networks using Pytorch

HAT-Net. Vision Transformers with Hierarchical Attention

CMT-pytorch. CMT: Convolutional Neural Networks Meet Vision Transformers

AutoAugment. Unofficial implementation of the ImageNet, CIFAR 10 and SVHN Augmentation Policies learned by AutoAugment using pillow

GoogLeNet-PyTorch. Restore the official code 100% and improve it to make it easier to use.

wide-resnet.pytorch. Best CIFAR-10, CIFAR-100 results with wide-residual networks using PyTorch

SemiCD. Revisiting Consistency Regularization for Semi-supervised Change Detection in Remote Sensing Images

ChangeFormer. [IGARSS'22]: A Transformer-Based Siamese Network for Change Detection

Efficient-AI-Backbones. Efficient AI Backbones including GhostNet, TNT and MLP, developed by Huawei Noah's Ark Lab.

deit. Official DeiT repository

TransMix. [CVPR 2022] This repository includes the official project for the paper: TransMix: Attend to Mix for Vision Transformers.

Swin-Unet. [ECCVW 2022] The codes for the work "Swin-Unet: Unet-like Pure Transformer for Medical Image Segmentation"

swin-transformer-pytorch. Implementation of the Swin Transformer in PyTorch.

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

Awesome-Visual-Transformer. Collect some papers about transformer with vision. Awesome Transformer with Computer Vision (CV)

vit-pytorch. Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

cdrl. HTML

flashtorch. Visualization toolkit for neural networks in PyTorch! Demo -->

CVPR22_MOT-Winner-Solution.

InstColorization. Jupyter Notebook

pytorch-AdaIN. Unofficial pytorch implementation of 'Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization' [Huang+, ICCV2017]

StyleGAN.pytorch. A PyTorch implementation for StyleGAN with full features.

Head-Sharing-Multi-Class-Classification. Efficient network for multiple classification (based on ResNet50)

pytorch-loss. label-smooth, amsoftmax, partial-fc, focal-loss, triplet-loss, lovasz-softmax. Maybe useful

Emotion-Classficiation. Python

convert2Yolo. This project purpose is convert voc annotation xml file to yolo-darknet training file format

improved_CcGAN. Continuous Conditional Generative Adversarial Networks (CcGAN)

StyleGAN_PyTorch. The implementation of StyleGAN on PyTorch 1.0.1

BicycleGAN. Toward Multimodal Image-to-Image Translation

torchgeo. TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data

CDLab. Yet another repository for developing and benchmarking deep learning-based change detection methods.