ViswanathaReddyGajjala

FewShotWithoutForgetting

Datasets

Popular pedestrain detection datasets

DeepLearningWeeklyReadings

EfficientDet-Pytorch

EfficientDet implementation for object detection in Pytorch. EfficientNet as backbone. BiFPN.

EfficientNet-RetinaNet

Pytorch implementation of RetinaNet using EfficientNets as feature extractor or backbone network.

feat_extraction

FewShotWithoutForgetting

MaskRCNN_backbone_onnx

Repo contains the code to convert the mask rcnn backbone to onnx model.

pdf2text

This repo contains the code to extract text from pdf/picture/scanned document.

SSD_MobileNet

SSD: Single Shot MultiBox Detector | a PyTorch Model for Object Detection | VOC , COCO | Custom Object Detection

ViswanathaReddyGajjala/Datasets

Popular pedestrain detection datasets

ViswanathaReddyGajjala/EfficientNet-RetinaNet

Pytorch implementation of RetinaNet using EfficientNets as feature extractor or backbone network.

ViswanathaReddyGajjala/SSD_MobileNet

SSD: Single Shot MultiBox Detector | a PyTorch Model for Object Detection | VOC , COCO | Custom Object Detection

ViswanathaReddyGajjala/EfficientDet-Pytorch

EfficientDet implementation for object detection in Pytorch. EfficientNet as backbone. BiFPN.

ViswanathaReddyGajjala/pdf2text

This repo contains the code to extract text from pdf/picture/scanned document.

ViswanathaReddyGajjala/FewShotWithoutForgetting

ViswanathaReddyGajjala/MaskRCNN_backbone_onnx

Repo contains the code to convert the mask rcnn backbone to onnx model.

ViswanathaReddyGajjala/DeepLearningWeeklyReadings

ViswanathaReddyGajjala/feat_extraction

ViswanathaReddyGajjala/minbpe_fork

Minimal, clean, code for the Byte Pair Encoding (BPE) algorithm commonly used in LLM tokenization.

ViswanathaReddyGajjala/OLMo

Modeling, training, eval, and inference code for OLMo

ViswanathaReddyGajjala/Person-Attribute-Recognition-MarketDuke

A baseline model ( pytorch implementation ) for person attribute recognition task, training and testing on Market1501-attribute and DukeMTMC-reID-attribute dataset.

ViswanathaReddyGajjala/self-rewarding-lm-pytorch

Implementation of the training framework proposed in Self-Rewarding Language Model, from MetaAI

ViswanathaReddyGajjala/UA-MT

code for MICCAI 2019 paper 'Uncertainty-aware Self-ensembling Model for Semi-supervised 3D Left Atrium Segmentation'.

ViswanathaReddyGajjala/ViswanathaReddyGajjala

ViswanathaReddyGajjala/yet-another-applied-llm-benchmark