Starred repositories
label-smooth, amsoftmax, partial-fc, focal-loss, triplet-loss, lovasz-softmax. Maybe useful
Tool changing system for Vorons and other front mount printer motion systems, not just stealthburner.
A collection of loss functions for medical image segmentation
xiaopeng-liao / Pytorch-UNet
Forked from milesial/Pytorch-UNetPytorch implementation of the U-Net for image semantic segmentation, with dense CRF post-processing
Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
A library that helps you split image into small, overlappable patches, and merge patches into original image.
Using a U-Net for image segmentation, blending predicted patches smoothly is a must to please the human eye.
https://www.youtube.com/channel/UC34rW-HtPJulxr5wp2Xa04w?sub_confirmation=1
Python tool for converting files and office documents to Markdown.
This repository provides tutorials and implementations for various Generative AI Agent techniques, from basic to advanced. It serves as a comprehensive guide for building intelligent, interactive A…
Ingest, parse, and optimize any data format ➡️ from documents to multimedia ➡️ for enhanced compatibility with GenAI frameworks
Get up and running with Llama 3.3, DeepSeek-R1, Phi-4, Gemma 3, Mistral Small 3.1 and other large language models.
🍒 Cherry Studio is a desktop client that supports for multiple LLM providers.
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
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 …
Python implementation and interpretation of "Elliptic Fourier Features of a Closed Contour" with enhanced start point and rotation normalization methods.
Some simple Blender scripts for rendering paper figures
Collected study materials in Numerical Optimization ANU@MATH3514(HPC)
[CVPR 2024] Official PyTorch implementation of SuGaR: Surface-Aligned Gaussian Splatting for Efficient 3D Mesh Reconstruction and High-Quality Mesh Rendering
Morphological analysis of closed surfaces via the spheroidal harmonic basis functions
A large scale non-linear optimization library
Data processing algorithms for tomography: https://algotom.readthedocs.io
comprehensive library of 3D transmission Computed Tomography (CT) algorithms with Python and C++ APIs, a PyQt GUI, and fully integrated with PyTorch
A.Biguri PhD thesis: Iterative Reconstruction and Motion compensation in Computed Tomography on GPUs
Reconstruction and image processing of micro-CT/nano-CT data taken at SPring-8 and APS Argonne.
This Project Initially takes 3 Image Views as Input ( Front View , Side View , Top View ) and generates a 3D model corresponding to it .
Kitchen-based light tomography - Acquisition - Raspberry Pi