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Name: Anna Nadtochiy
Type: User
Company: University of Southern California
Bio: Ph.D. Computational Biology and Bioinformatics at USC, Scott E. Fraser Lab.
Location: Los Angeles, CA
Name: Anna Nadtochiy
Type: User
Company: University of Southern California
Bio: Ph.D. Computational Biology and Bioinformatics at USC, Scott E. Fraser Lab.
Location: Los Angeles, CA
A pytorch implementation of 3D UNet for 3D MRI Segmentation.
Official implementation of "A novel deep learning-based 3D cell segmentation framework for future image-based disease detection". (However, I think the title should be "3DCellSeg - a robust deep learning-based 3D cell instance segmentation pipeline".)
🎮 Advanced Deep Learning and Reinforcement Learning at UCL & DeepMind | YouTube videos 👉
BIRL: Benchmark on Image Registration methods with Landmark validations
Building Data Science Applications with FastAPI, Published by Packt
a generalist algorithm for cellular segmentation
3D Extension of the Cellpose Algorithm by Stringer et al., 2021.
Cookiecutter template for a Python package.
cosCMOS ( "correct sCMOS", pronounced as cosmos ) is a Python package designed to cancel the fixed-pattern noise of sCMOS cameras.
Pytorch Lightning code guideline for conferences
Public facing deeplift repo
a central place for demos and code snippets of how to use some third-party tools
TensorFlow documentation
A Deep Architecture for Synapse Detection in Multiplexed Fluorescence Images
This is a collection of chaotic notes and references to everything about fear memory formation and corresponding synaptic changes, with some focus on zebrafish.
The MATLAB toolbox for MEG and EEG analysis
Python Utils for Inhibitory Synapses and Threat Circuit Analysis
The Tensorflow, Keras implementation of U-net, V-net, U-net++, UNET 3+, Attention U-net, R2U-net, ResUnet-a, U^2-Net, and TransUNET with optional ImageNet-trained backbones.
build GUIs from python functions, using magic.
Some useful matlab scripts.
Mesa is an agent-based modeling framework in Python
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
PyTorch implementation for training a LeNet-5 like Convnet on MNIST digits
Models and examples built with TensorFlow
Mycelite is a SQLite extension that allows you to synchronize changes from one instance of SQLite to another.
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.