Sovit Ranjan Rath's starred repositories
pretrained-models.pytorch
Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.
Yet-Another-EfficientDet-Pytorch
The pytorch re-implement of the official efficientdet with SOTA performance in real time and pretrained weights.
pytorch-sentiment-analysis
Tutorials on getting started with PyTorch and TorchText for sentiment analysis.
make-sense
Free to use online tool for labelling photos. https://makesense.ai
a-PyTorch-Tutorial-to-Object-Detection
SSD: Single Shot MultiBox Detector | a PyTorch Tutorial to Object Detection
pytorch-beginner
pytorch tutorial for beginners
taichi_mpm
High-performance moving least squares material point method (MLS-MPM) solver. (ACM Transactions on Graphics, SIGGRAPH 2018)
Best_AI_paper_2020
A curated list of the latest breakthroughs in AI by release date with a clear video explanation, link to a more in-depth article, and code
torchmetrics
Torchmetrics - Machine learning metrics for distributed, scalable PyTorch applications.
pytorch-segmentation
:art: Semantic segmentation models, datasets and losses implemented in PyTorch.
CV-pretrained-model
A collection of computer vision pre-trained models.
DeepGamingAI_FIFARL
Using Reinforcement Learning to play FIFA
deep-vision
Learning and replicating famous deep learning models for computer vision tasks
faster_rcnn_keras
faster RCNN keras step by step implementation
Convert-own-data-to-MNIST-format
This project is convert own data to MNIST format. It may help you to quickly test new DL model without modify too much code.
pyOpenAnnotate
A single class annotation tool.
TensorFlow-ResNets
A hub for ResNet based models and pretrained weights in TensorFlow.
German-Traffic-Sign-Recognition-with-Deep-Learning
Recognizing traffic signs with deep learning and PyTorch using Spatial Transformer Convolutional Neural Networks.
Caltech-101-Object-Classification
Multiple approaches tried for Object classification on Caltech 101 Dataset
SSD300-VGG11-on-Pascal-VOC-2005-Data
This project trains a SSD300 with VGG11 base on the PASCAL VOC 2005 dataset using the PyTorch deep learning framework.