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Brinthan's Projects

annotated_deep_learning_paper_implementations icon annotated_deep_learning_paper_implementations

🧑‍🏫 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, ... 🧠

dtsa-ii icon dtsa-ii

NIST DTSA-II - Power tools for X-ray Microanalysis

latex-templates icon latex-templates

Commented templates for CVs, homework, lecture notes, presentations, research papers, and essays, with commands for math/statistics symbols

particle_size_analysis icon particle_size_analysis

This python code will enable reading the DICOM files and preparing for particle size and shape analysis.

porespy icon porespy

A set of tools for characterizing and analying 3D images of porous materials

pydeepp2sa icon pydeepp2sa

A python package for particle size and shape analysis using deep learning

pythonnumericaldemos icon pythonnumericaldemos

Well-documented Python demonstrations for spatial data analytics, geostatistical and machine learning to support my courses.

segment-anything icon segment-anything

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

studio-lab-examples icon studio-lab-examples

Example notebooks for working with SageMaker Studio Lab. Sign up for an account at the link below!

zerocostdl4mic icon zerocostdl4mic

ZeroCostDL4Mic: A Google Colab based no-cost toolbox to explore Deep-Learning in Microscopy

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