Saeed Kasmani (amirgholipour)

amirgholipour

Geek Repo

Company:IBM

Location:Sydney

Home Page:www.linkedin.com/in/Saeed-Kasmani

Twitter:@KasmaniSaeed

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Saeed Kasmani's repositories

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[UNMAINTAINED] Automated machine learning for analytics & production

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clothing-co-parsing

CCP dataset from "Clothing Co-Parsing by Joint Image Segmentation and Labeling " (CVPR 2014)

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Forecasting-Mobile-Network-Traffic

My Solution to the Assignment Task based on Telecom Italia's Big Data Challenge

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generate-insights-from-data-formats-with-watson

How do we process data in different formats like docx, pdf etc and generate insights to be linked with structured data in database?This pattern helps in establishing relations between structured & unstructured data to generate recommendations using Watson NLU & Watson Studio.

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k8s-ml

🎱 A demonstration of existing machine learning toolkits on Kubernetes

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LS-SSDD-v1.0-ShipDetectionComputerVision

Small Vessel Detection from Synthetic Aperture Radar (SAR) Imagery using Deep Learning

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machine-learning-using-k8s

Train and Deploy Machine Learning Models on Kubernetes using Amazon EKS

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models

Models and examples built with TensorFlow

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Multi-Attention-Spatiotemporal-Network-for-mobile-traffic-prediction

Implementing Multi-level attention netowrk for spatio-temporal prediction

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PyData-Pseudolabelling-Keynote

Accompanying notebook and sources to "A Guide to Pseudolabelling: How to get a Kaggle medal with only one model" (Dec. 2020 PyData Boston-Cambridge Keynote)

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pytorch-seq2seq

An open source framework for seq2seq models in PyTorch.

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serverless-image-processor

Use Cloud Functions to automatically analyze images in Cloud Object Storage

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simple-keras-rest-api

A simple Keras REST API using Flask

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Spatio-Temporal-mobile-traffic-forecasting

Mobile Traffic Prediction using Deep Learning models

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visual-insights-custom-models

Sample code for training and deploying custom models (classification or object dection) in IBM Visual Insights

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watson-stock-market-predictor

A IBM Developer code pattern for Watson Studio: forecast the stock market with Python Notebooks, SPSS Modeler, Data Refinery, and other Watson Studio tools.

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