Pinned Repositories
3D-brain-segmentation
This is a repository containing code to Paper "Optimized High Resolution 3D Dense-U-Net Network for Brain and Spine Segmentation" published at MDPI Applied sciences journal - https://www.mdpi.com/2076-3417/9/3/404 .
3D-GAE
A generalized autoencoder for volumetric shape generation
adabn-pytorch
deeplabv3plus-keras-jupyter-notebook
A simple and easy to use jupyter notebook of the popular Deeplab V3 plus algorithm, originally implemented by the user bonlime
EG3D-pytorch
unofficial code of the paper "Efficient Geometry-aware 3D Generative Adversarial Networks"
librealsense
Intel® RealSense™ SDK
projekt-x
A web application server that clients can use to control different IoT devices that are based on the Arduino Microcontroller
SegmentationCpp
A c++ trainable semantic segmentation library based on libtorch (pytorch c++). Backbone: ResNet, ResNext. Architecture: FPN, U-Net, PAN, LinkNet, DeepLab-V3, DeepLab-V3+ by now.
U-Net
A simple U-Net implementation for custom dataset. Just create required folders and place the images and then start training.
vggannotation2coco
A simple script to convert the labels annotated using the vgg annotation tool to the coco-format
sainatarajan's Repositories
sainatarajan/U-Net
A simple U-Net implementation for custom dataset. Just create required folders and place the images and then start training.
sainatarajan/adabn-pytorch
sainatarajan/EG3D-pytorch
unofficial code of the paper "Efficient Geometry-aware 3D Generative Adversarial Networks"
sainatarajan/applied-ml
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
sainatarajan/Awesome-MRI-Reconstruction
sainatarajan/DeepPhysX
Interfacing AI with numerical simulation.
sainatarajan/devika
Devika is an Agentic AI Software Engineer that can understand high-level human instructions, break them down into steps, research relevant information, and write code to achieve the given objective. Devika aims to be a competitive open-source alternative to Devin by Cognition AI.
sainatarajan/differentiable-sdf-rendering
Source code for "Differentiable Signed Distance Function Rendering" (Siggraph 2022)
sainatarajan/Diffusion-Models-Papers-Survey-Taxonomy
Diffusion model papers, survey, and taxonomy
sainatarajan/Evaluation-of-GANs
sainatarajan/facefusion
Next generation face swapper and enhancer
sainatarajan/graph-based-deep-learning-literature
links to conference publications in graph-based deep learning
sainatarajan/lightning-hydra-template
PyTorch Lightning + Hydra. A very user-friendly template for rapid and reproducible ML experimentation with best practices. ⚡🔥⚡
sainatarajan/meshGraphNets_pytorch
PyTorch implementations of Learning Mesh-based Simulation With Graph Networks
sainatarajan/neural-deferred-shading
Multi-View Mesh Reconstruction with Neural Deferred Shading (CVPR 2022)
sainatarajan/neural-radiosity-tutorial-mitsuba3
Implementation Tutorial for Neural Radiosity [Hadadan et al. 2021] in Mitsuba 3
sainatarajan/NiftyMIC
NiftyMIC is a research-focused toolkit for motion correction and volumetric image reconstruction of 2D ultra-fast MRI.
sainatarajan/PFSeg
Patch-free 3D Medical Image Segmentation
sainatarajan/Pointregistation
Pointregistation for Nifftys
sainatarajan/pytorch-transformers-template
This is a template for fast prototype relying on transformers, hydra, fairscale and deepspeed, etc.
sainatarajan/RICOTTA_Software
This software reproduces the results from the paper called: "MULTI-FRAME SUPER-RESOLUTION MRI USING COUPLED LOW-RANK TUCKER APPROXIMATION" - C.Prévost, F. Odille (2022)
sainatarajan/sitk-registration-volume-and-mesh
sainatarajan/svox2
Plenoxels: Radiance Fields without Neural Networks, Code release WIP
sainatarajan/TIGRE
TIGRE: Tomographic Iterative GPU-based Reconstruction Toolbox
sainatarajan/tomosipo
A library for painless 3D tomographic reconstruction
sainatarajan/Vox2Cortex
sainatarajan/voxelmorph
Unsupervised Learning for Image Registration
sainatarajan/WarpPINN
sainatarajan/x-unet
Implementation of a U-net complete with efficient attention as well as the latest research findings
sainatarajan/XraySyn
XraySyn: Realistic View Synthesis From a Single Radiograph Through CT Priors