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$15 USD / hour
Flag of LK
moneragala, sri lanka
$15 USD / hour
It's currently 7:18 AM here
Joined September 18, 2020
2 Recommendations

Kalani H.

@KalaniHasantha

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4.5 (16 reviews)
3.8
3.8
$15 USD / hour
Flag of LK
moneragala, sri lanka
$15 USD / hour
95%
Jobs Completed
86%
On Budget
88%
On Time
6%
Repeat Hire Rate

Machine Learning | Deep Learning | Data Science

I solve problems and Data's my favorite !! My area of expertise: - Machine Learning/Deep Learning: Tensorflow, Keras, PyTorch, scikit-learn - Natural Language Processing (NLP): NLTK - Computer vision: OpenCV - Data visualization: matplotlib, seaborn, ggplot, plotly - Data manipulation and data mining: pandas, numpy, BeautifulSoup - Programming Languages: Python, R, Java, C++
Freelancer Python Developers Sri Lanka

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Portfolio Items

Generative Adversarial Networks (GANs) Specialization
Generative Adversarial Networks (GANs) Specialization
Natural Language Processing Specialization
Natural Language Processing Specialization
Neural style transfer is an optimization technique used to take three images, a content image, a style reference image, and the input image you want to style  and blend them together such that the input image is transformed to look like the content image, but “painted” in the style of the style image.
Neural Style Transfer (Creating Art with Deep Learning)
Neural style transfer is an optimization technique used to take three images, a content image, a style reference image, and the input image you want to style  and blend them together such that the input image is transformed to look like the content image, but “painted” in the style of the style image.
Neural Style Transfer (Creating Art with Deep Learning)
Neural style transfer is an optimization technique used to take three images, a content image, a style reference image, and the input image you want to style  and blend them together such that the input image is transformed to look like the content image, but “painted” in the style of the style image.
Neural Style Transfer (Creating Art with Deep Learning)
Medical image segmentation is the process of identifying organs or lesions from CT scans or MRI images and can deliver essential information about the shapes and volumes of these organs. This can be used to detect  Skin Cancer, Tumors, Diabetic Retinopathy, breast cancer, pneumonia and many other diseases.
Medical image processing
Medical image segmentation is the process of identifying organs or lesions from CT scans or MRI images and can deliver essential information about the shapes and volumes of these organs. This can be used to detect  Skin Cancer, Tumors, Diabetic Retinopathy, breast cancer, pneumonia and many other diseases.
Medical image processing
Medical image segmentation is the process of identifying organs or lesions from CT scans or MRI images and can deliver essential information about the shapes and volumes of these organs. This can be used to detect  Skin Cancer, Tumors, Diabetic Retinopathy, breast cancer, pneumonia and many other diseases.
Medical image processing
For this project, I used OpenCV to automatically detect faces in images and draw bounding boxes around them.  Facial expressions recognition was done by  training a convolutional neural network (CNN) in Keras from scratch .
Emotion/ Facial expression Recognition
For this project, I used OpenCV to automatically detect faces in images and draw bounding boxes around them.  Facial expressions recognition was done by  training a convolutional neural network (CNN) in Keras from scratch .
Emotion/ Facial expression Recognition
For this project, I used OpenCV to automatically detect faces in images and draw bounding boxes around them.  Facial expressions recognition was done by  training a convolutional neural network (CNN) in Keras from scratch .
Emotion/ Facial expression Recognition
YOLO is short for You Only Look Once. It is a real-time object recognition system that can recognize multiple objects in a single frame. YOLO recognizes objects more precisely and faster than other recognition systems. It can predict up to 9000 classes and even unseen classes. The real-time recognition system will recognize multiple objects from an image and also make a boundary box around the object. It can be easily trained and deployed in a production system.
Real Time Object Detection using YOLO V4
YOLO is short for You Only Look Once. It is a real-time object recognition system that can recognize multiple objects in a single frame. YOLO recognizes objects more precisely and faster than other recognition systems. It can predict up to 9000 classes and even unseen classes. The real-time recognition system will recognize multiple objects from an image and also make a boundary box around the object. It can be easily trained and deployed in a production system.
Real Time Object Detection using YOLO V4
YOLO is short for You Only Look Once. It is a real-time object recognition system that can recognize multiple objects in a single frame. YOLO recognizes objects more precisely and faster than other recognition systems. It can predict up to 9000 classes and even unseen classes. The real-time recognition system will recognize multiple objects from an image and also make a boundary box around the object. It can be easily trained and deployed in a production system.
Real Time Object Detection using YOLO V4
YOLO is short for You Only Look Once. It is a real-time object recognition system that can recognize multiple objects in a single frame. YOLO recognizes objects more precisely and faster than other recognition systems. It can predict up to 9000 classes and even unseen classes. The real-time recognition system will recognize multiple objects from an image and also make a boundary box around the object. It can be easily trained and deployed in a production system.
Real Time Object Detection using YOLO V4
YOLO is short for You Only Look Once. It is a real-time object recognition system that can recognize multiple objects in a single frame. YOLO recognizes objects more precisely and faster than other recognition systems. It can predict up to 9000 classes and even unseen classes. The real-time recognition system will recognize multiple objects from an image and also make a boundary box around the object. It can be easily trained and deployed in a production system.
Real Time Object Detection using YOLO V4

Reviews

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Showing 1 - 5 out of 16 reviews
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5.0
$55.00 USD
She is well experienced.. And submitted before the deadline.. Good service.. Flexible budget.. Highly recommended..
Technical Writing Statistics Research Writing SPSS Statistics Artificial Intelligence
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Flag of LK Wasana J. @wasanaflinics
2 months ago
5.0
$20.00 AUD
great freelancer. Will rehire :)
D
Flag of AU Dhruv P. @drewp438
2 months ago
5.0
₹4,500.00 INR
She is a very talented lady, Have sound knowledge of Deep learning models, clarify all the doubts, completed the project on time and also waited to finish executing. Will surely be working with her on next project in few days.
Python Natural Language Deep Learning
P
Flag of IN Jidu K. @projectsttp2020
2 months ago
5.0
$55.00 USD
Great work. She is an expert in ML and DL. This is my third project with her and all were outstanding. I highly recommend her for your ML & DL projects.
Python Machine Learning (ML) Artificial Intelligence Data Analytics
+1 more
S
Flag of LK Firthouse Hassan Ahamed S. @shibly591
2 months ago
5.0
$20.00 USD
Great work. Would like to work again
Python Data Processing Algorithm Machine Learning (ML) Natural Language
D
Flag of US Dodata A. @dodataaiml
2 months ago

Education

M.Sc. in Artificial Intelligence

University of Moratuwa, Sri Lanka 2018 - 2020
(2 years)

B.Sc (Hons.) in Information Technology

University of Moratuwa, Sri Lanka 2013 - 2017
(4 years)

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Top Skills

Python 14 Machine Learning (ML) 10 Deep Learning 9 Artificial Intelligence 6 Data Analytics 4

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