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Name: Eva Boneš
Type: User
Company: University of Ljubljana
Name: Eva Boneš
Type: User
Company: University of Ljubljana
🧑🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
Algorithms for Single Particle Reconstruction
Cleaner and Formatter for BibTeX files
Collecting and organising data as they come in from various sources - master tables are at https://tinyurl.com/sledilnik-gdocs
Implementation of Denoising Diffusion Probabilistic Model in Pytorch
Denoising Diffusion Probabilistic Models
Code for NeurIPS 2020 article "Contrastive learning of global and local features for medical image segmentation with limited annotations"
Using DUCK-Net for polyp image segmentation. ( Nature Scientific Reports 2023 )
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
Lab Materials for MIT 6.S191: Introduction to Deep Learning
Official Pytorch Code of KiU-Net for Image/3D Segmentation - MICCAI 2020 (Oral), IEEE TMI
Neural LerPlane Representations for Fast 4D Reconstruction of Deformable Tissues
Public repo for the ICCV2021-CVAMD paper "Is it Time to Replace CNNs with Transformers for Medical Images?"
Many studies have shown that the performance on deep learning is significantly affected by volume of training data. The MedicalNet project provides a series of 3D-ResNet pre-trained models and relative code.
Medical Image Segmentation with Diffusion Model
A new comprehensive and diverse few-shot acoustic classification benchmark.
MONAI Tutorials
A PyTorch implementation of NeRF (Neural Radiance Fields) that reproduces the results.
[ICCV'21] Neural Radiance Flow for 4D View Synthesis and Video Processing
Phantom generator
3D U-Net model for volumetric semantic segmentation written in pytorch
Baseline method for sound event localization task of DCASE 2023 challenge
A PyTorch implementation of SimCLR based on ICML 2020 paper "A Simple Framework for Contrastive Learning of Visual Representations"
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.