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 .
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
PhotoPolarAlign
A python utility to help align equatorial telescopes by imaging the Celestial Pole region.
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/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.
sainatarajan/3D-Shape-Analysis-Paper-List
A list of recent papers, libraries and datasets about 3D shape/scene analysis (by topics, updating).
sainatarajan/3DShapeGen
Code for 3D Reconstruction of Novel Object Shapes from Single Images paper
sainatarajan/A-Single-View-3D-Object-Point-Cloud-Reconstruction
3D-ReConstnet: A Single-View 3D-Object Point Cloud Reconstruction Network for more details,please see this link:and please cite our paper: https://ieeexplore.ieee.org/document/9086481?source=authoralert B. Li, Y. Zhang, B. Zhao and H. Shao, "3D-ReConstnet: A Single-View 3D-Object Point Cloud Reconstruction Network," in IEEE Access, vol. 8, pp. 83782-83790, 2020, doi: 10.1109/ACCESS.2020.2992554.
sainatarajan/applied-ml
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
sainatarajan/awesome-3d-reconstruction-papers
A collection of 3D reconstruction papers in the deep learning era.
sainatarajan/DmifNet
This repository contains the source codes for the paper "DmifNet: 3D Shape Reconstruction based on Dynamic Multi–Branch Information Fusion (ICPR 2020 Oral)"
sainatarajan/From-0-to-Research-Scientist-resources-guide
Detailed and tailored guide for undergraduate students or anybody want to dig deep into the field of AI with solid foundation.
sainatarajan/graph-based-deep-learning-literature
links to conference publications in graph-based deep learning
sainatarajan/iptv
Collection of publicly available IPTV channels from all over the world
sainatarajan/MeshDeformNet
A deep-learning approach for direct whole-heart mesh reconstruction
sainatarajan/MeshGraphormer
Research code of ICCV 2021 paper "Mesh Graphormer"
sainatarajan/MeshTransformer
Research code for CVPR 2021 paper "End-to-End Human Pose and Mesh Reconstruction with Transformers"
sainatarajan/nnUNet
sainatarajan/optimesh
:spider_web: Mesh optimization, mesh smoothing.
sainatarajan/paper-tomosipo-code-repository
This repository accompanies the preprint "Tomosipo: Fast, flexible, and convenient 3D tomography for complex scanning geometries in Python".
sainatarajan/perceiver-pytorch
Implementation of Perceiver, General Perception with Iterative Attention, in Pytorch
sainatarajan/PlotNeuralNet
Latex code for making neural networks diagrams
sainatarajan/pygalmesh
:spider_web: A Python interface to CGAL's meshing tools
sainatarajan/pytorch-grad-cam
Many Class Activation Map methods implemented in Pytorch for CNNs and Vision Transformers. Including Grad-CAM, Grad-CAM++, Score-CAM, Ablation-CAM and XGrad-CAM
sainatarajan/self-attention-cv
Implementation of various self-attention mechanisms focused on computer vision. Ongoing repository.
sainatarajan/SMR
Self-Supervised 3D Mesh Reconstruction from Single Images (CVPR2021)
sainatarajan/Stock-Prediction-Models
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
sainatarajan/STRESS
sainatarajan/SVR-SP
sainatarajan/tomosipo
A library for painless 3D tomographic reconstruction
sainatarajan/torchmcubes
Marching cubes implementation for PyTorch environment.
sainatarajan/Total3DUnderstanding
Implementation of CVPR'20 Oral: Total3DUnderstanding: Joint Layout, Object Pose and Mesh Reconstruction for Indoor Scenes from a Single Image
sainatarajan/TransUNet
This repository includes the official project of TransUNet, presented in our paper: TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation.
sainatarajan/Weighted-Boxes-Fusion
Set of methods to ensemble boxes from different object detection models, including implementation of "Weighted boxes fusion (WBF)" method.