Lists (3)
Starred repositories
Python package built to ease deep learning on graph, on top of existing DL frameworks.
StellarGraph - Machine Learning on Graphs
A transactional, relational-graph-vector database that uses Datalog for query. The hippocampus for AI!
This is a simple graph database in SQLite, inspired by "SQLite as a document database"
A free, open source, multi-platform SQLite database manager.
Graph neural networks (GNNs) is implemented with Cora datset using Spektral module.
CPU/GPU/TPU implementation of the Fréchet Inception Distance
YOLOv8 C++ Instance Segmentation, Pose Estimation and Object Detection with ONNX
yolov8 hub,cpp with onnxruntime and opencv
study for python, ML, DL, Data Science, etc
Weighted Principal Component Analysis (PCA) in Python
Self-contained, minimalistic implementation of diffusion models with Pytorch.
[MICCAI 2024] Easy diffusion models (optionally with segmentation guidance) for medical images and beyond.
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
Nodes for better inpainting with ComfyUI: Fooocus inpaint model for SDXL, LaMa, MAT, and various other tools for pre-filling inpaint & outpaint areas.
Runway Inpainting based on Stable Diffusion
High-Resolution Image Synthesis with Latent Diffusion Models
Stable diffusion for inpainting
The PyTorch implementation of ICCV 2019 oral paper: free-form inpainting (deepfillv2), especially Gated Conv
A collection of awesome image inpainting studies.
COCO Synth provides tools for creating synthetic COCO datasets.
🖼️🎨 A PyTorch reimplementation of the paper Free-Form Image Inpainting with Gated Convolution (DeepFill v2) (https://arxiv.org/abs/1806.03589)
DeepFill v1/v2 with Contextual Attention and Gated Convolution, CVPR 2018, and ICCV 2019 Oral