Saeed Kasmani's repositories
LS-SSDD-v1.0-ShipDetectionComputerVision
Small Vessel Detection from Synthetic Aperture Radar (SAR) Imagery using Deep Learning
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)
auto_ml
[UNMAINTAINED] Automated machine learning for analytics & production
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.
Forecasting-Mobile-Network-Traffic
My Solution to the Assignment Task based on Telecom Italia's Big Data Challenge
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.
visual-insights-custom-models
Sample code for training and deploying custom models (classification or object dection) in IBM Visual Insights
Spatio-Temporal-mobile-traffic-forecasting
Mobile Traffic Prediction using Deep Learning models
pytorch-seq2seq
An open source framework for seq2seq models in PyTorch.
serverless-image-processor
Use Cloud Functions to automatically analyze images in Cloud Object Storage
machine-learning-using-k8s
Train and Deploy Machine Learning Models on Kubernetes using Amazon EKS
clothing-co-parsing
CCP dataset from "Clothing Co-Parsing by Joint Image Segmentation and Labeling " (CVPR 2014)
simple-keras-rest-api
A simple Keras REST API using Flask
Multi-Attention-Spatiotemporal-Network-for-mobile-traffic-prediction
Implementing Multi-level attention netowrk for spatio-temporal prediction
k8s-ml
🎱 A demonstration of existing machine learning toolkits on Kubernetes
models
Models and examples built with TensorFlow