Lahiru Rumesh Rathnayake (LahiRumesh)

LahiRumesh

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Location:Kandy, Sri Lanka

Twitter:@LahiRumesh

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Lahiru Rumesh Rathnayake's repositories

simple_cnn

Simple CNN is a library that can be used to train and infer CNN models by use of PyTorch and ONNX.

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SSL_Vision_Pipeline

Semi-Supervised | Pseudo Labeling pipeline with one-stage object detection models

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voc2coco

How to create custom COCO data set for object detection

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yolor

implementation of paper - You Only Learn One Representation: Unified Network for Multiple Tasks (https://arxiv.org/abs/2105.04206)

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YOLOv3-weights-converter

convert trained yolov3 weights (.h5) model to TensorFlow severing

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dataPipeline

data pipeline use for cnn

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detectron2

Detectron2 is FAIR's next-generation platform for object detection and segmentation.

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detr

End-to-End Object Detection with Transformers

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kmeans-anchor-boxes

k-means clustering with the Intersection over Union (IoU) metric as described in the YOLO9000 paper

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llm

An ecosystem of Rust libraries for working with large language models

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ML_Data_Pre-Process

Data Pre-Processing for Machine Learning

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models

A collection of pre-trained, state-of-the-art models in the ONNX format

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pytorch-YOLOv4

PyTorch ,ONNX and TensorRT implementation of YOLOv4

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semantic-segmentation

SOTA Semantic Segmentation Models in PyTorch

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tensorflow-yolov4-tflite

YOLOv4, YOLOv4-tiny, YOLOv3, YOLOv3-tiny Implemented in Tensorflow 2.0, Android. Convert YOLO v4 .weights tensorflow, tensorrt and tflite

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vision-transformer

Tensorflow implementation of the Vision Transformer (An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale)

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xml2yolo

label file converter: xml to yolo

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yolact

A simple, fully convolutional model for real-time instance segmentation.

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yolov3-tf2

YoloV3 Implemented in Tensorflow 2.0

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