Dhritiman Das's repositories
awesome-production-machine-learning
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
auto-qc
automated evaluation of quality metrics for neuroimaging data
awesome-deep-learning-papers
The most cited deep learning papers
Brainhack-MIT-Neuro
Brainhack global 2021 at MIT
coding-interview-university
A complete computer science study plan to become a software engineer.
dhritimandas.github.io
Part of the Academic Website Workshop
google-research
Google Research
kwyk
Knowing what you know - Bayesian brain parcellation
lazypredict
Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning
ml-papers
Collection of (deep) machine learning papers
nobrainer
A framework for developing neural network models for 3D image processing.
pix2pix-tensorflow
Tensorflow port of Image-to-Image Translation with Conditional Adversarial Nets https://phillipi.github.io/pix2pix/
pix2pix3D
pix2pix3D: Generating 3D Objects from 2D User Inputs
pytorch3d
PyTorch3D is FAIR's library of reusable components for deep learning with 3D data
qc-book
ISMRM '22 QC Tutorial
scala
The Scala programming language
science4all
This repo will provide pointers to different questions/problems where we could use help.
scribble-diffusion
Turn your rough sketch into a refined image using AI
self-supervised
self supervised methods for brain imaging analysis
trained-models
Trained TensorFlow models for 3D image processing
UKBiobank_deep_pretrain
Pretrained neural networks for UK Biobank brain MRI images. SFCN, 3D-ResNet etc.
vissl
VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.