AhmedStohy

ultralytics

NEW - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite

stl-viewer

Python-based STL viewer

Cunder

Experimental C binding for LibTorch

c-libtorch

Experimental C binding for libtorch

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

models

A collection of pre-trained, state-of-the-art models in the ONNX format

maskrcnn-benchmark

Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.

tensorflow-onnx

Convert TensorFlow, Keras, Tensorflow.js and Tflite models to ONNX

numpy

The fundamental package for scientific computing with Python.

Graph-U-Nets

Pytorch implementation of Graph U-Nets (ICML19)

GACNet

Pytorch implementation of 'Graph Attention Convolution for Point Cloud Segmentation'

onnx

Open standard for machine learning interoperability

model_analyzer

Triton Model Analyzer is a CLI tool to help with better understanding of the compute and memory requirements of the Triton Inference Server models.

gco_python

Python wrappers for GCO alpha-expansion and alpha-beta-swaps

pygco

A python wrapper for gco-v3.0 package, used for graph cuts based MRF optimization.

SegLossOdyssey

A collection of loss functions for medical image segmentation

scikit-learn

scikit-learn: machine learning in Python

TSGCNet

PyMesh

Geometry Processing Library for Python

gat-pytorch

pytorch implementation of Graph Attention Networks

dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

pytorch-GAT

My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entropy histograms. I've supported both Cora (transductive) and PPI (inductive) examples!

quadric-mesh-simplification

Fast python implementation of the quadric mesh simplification algorithm from http://mgarland.org/files/papers/quadrics.pdf

Graph_Transformer_Networks

Graph Transformer Networks (Authors' PyTorch implementation for the NeurIPS 19 paper)

pyacvd

Python implementation of surface mesh resampling algorithm ACVD

Mesh_simplification_python

An implementation of mesh simplification algorithm using python

BFP

[ICCV2019] Boundary-Aware Feature Propagation for Scene Segmentation

PaddleSeg

Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in Semantic Segmentation, Interactive Segmentation, Panoptic Segmentation, Image Matting, 3D Segmentation, etc.

Transformers

Transformers and related deep network architectures are summarized and implemented here.

PD-MeshNet

Primal-Dual Mesh Convolutional Neural Networks