sainatarajan's repositories
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.
3D-Shape-Analysis-Paper-List
A list of recent papers, libraries and datasets about 3D shape/scene analysis (by topics, updating).
3DModelingRL
Modeling 3D Shapes by Reinforcement Learning (ECCV2020)
3DShapeGen
Code for 3D Reconstruction of Novel Object Shapes from Single Images paper
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.
awesome-3d-reconstruction-papers
A collection of 3D reconstruction papers in the deep learning era.
DmifNet
This repository contains the source codes for the paper "DmifNet: 3D Shape Reconstruction based on Dynamic Multi–Branch Information Fusion (ICPR 2020 Oral)"
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.
iptv
Collection of publicly available IPTV channels from all over the world
MeshDeformNet
A deep-learning approach for direct whole-heart mesh reconstruction
MeshGraphormer
Research code of ICCV 2021 paper "Mesh Graphormer"
MeshTransformer
Research code for CVPR 2021 paper "End-to-End Human Pose and Mesh Reconstruction with Transformers"
optimesh
:spider_web: Mesh optimization, mesh smoothing.
paper-tomosipo-code-repository
This repository accompanies the preprint "Tomosipo: Fast, flexible, and convenient 3D tomography for complex scanning geometries in Python".
perceiver-pytorch
Implementation of Perceiver, General Perception with Iterative Attention, in Pytorch
PlotNeuralNet
Latex code for making neural networks diagrams
pygalmesh
:spider_web: A Python interface to CGAL's meshing tools
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
pytorch-image-models
PyTorch image models, scripts, pretrained weights -- (SE)ResNet/ResNeXT, DPN, EfficientNet, MixNet, MobileNet-V3/V2, MNASNet, Single-Path NAS, FBNet, and more
pytorch-loss
label-smooth, amsoftmax, focal-loss, triplet-loss, lovasz-softmax. Maybe useful
self-attention-cv
Implementation of various self-attention mechanisms focused on computer vision. Ongoing repository.
SMR
Self-Supervised 3D Mesh Reconstruction from Single Images (CVPR2021)
Stock-Prediction-Models
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
torchmcubes
Marching cubes implementation for PyTorch environment.
Total3DUnderstanding
Implementation of CVPR'20 Oral: Total3DUnderstanding: Joint Layout, Object Pose and Mesh Reconstruction for Indoor Scenes from a Single Image
TransUNet
This repository includes the official project of TransUNet, presented in our paper: TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation.
Weighted-Boxes-Fusion
Set of methods to ensemble boxes from different object detection models, including implementation of "Weighted boxes fusion (WBF)" method.