Zain Ul Abidin's repositories
commoncrawl
Extract email and contact information from commoncrawl index
ActiveLearningFrameworkTutorial
An active learning framework, using interchangeable algorithms and sample selection functions, including experimental results on a toy data-set.
alb-demo
Amazon Load Balancer Demo Using Terraform
animated-giggle
AAAA
Chameleon
Parametric models, and particularly neural networks, require weight initialization as a starting point for gradient-based optimization. In most current practices, this is accomplished by using some form of random initialization. Instead, recent work shows that a specific initial parameter set can be learned from a population of tasks, i.e., dataset and target variable for supervised learning tasks. Using this initial parameter set leads to faster convergence for new tasks (model-agnostic meta-learning). Currently, methods for learning model initializations are limited to a population of tasks sharing the same schema, i.e., the same number, order, type and semantics of predictor and target variables. In this paper, we address the problem of meta-learning parameter initialization across tasks with different schemas, i.e., if the number of predictors varies across tasks, while they still share some variables. We propose Chameleon, a model that learns to align different predictor schemas to a common representation. We use permutations and masks of the predictors of the training tasks at hand. In experiments on real-life data sets, we show that Chameleon successfully can learn parameter initializations across tasks with different schemas providing a 26\% lift on accuracy on average over random initialization and of 5\% over a state-of-the-art method for fixed-schema learning model initializations. To the best of our knowledge, our paper is the first work on the problem of learning model initialization across tasks with different schemas.
compress-and-resize-jpeg-script-python
Compress and resize Width and Height of jpeg image with python script
dbt-tutorial
dbt datapipline tutorial
Domain-Adversarial-Neural-Network
Implementation of Domain Adversarial Neural Network in Tensorflow
furry-garbanzo
A DBMS utility | CMU lectures
image-registration
Image registration project for writely
linux-from-scratch
hello
neural_factorization_machine
TenforFlow Implementation of Neural Factorization Machine
postgres-http-extention
Mirror of the official PostgreSQL GIT repository. Note that this is just a *mirror* - we don't work with pull requests on github. To contribute, please see https://wiki.postgresql.org/wiki/Submitting_a_Patch
python-grade
Grade assignment submitted through python-assessment module
RockyVisualDocs
The repository will contain diagrams and presentations of Change Requests from Rocky.
safepay-node-express
Safepay Node Endpoint
sceptre
Build better AWS infrastructure
skills-introduction-to-github
My clone repository
spark-essentials
The official repository for the Rock the JVM Spark Essentials with Scala course
spark-streaming
The official repository for the Rock the JVM Spark Streaming course
superstruct-tech-challenge-git
superstruct-tech-challenge-git
synthetic-computer-vision
A list of synthetic dataset and tools for computer vision
synthia-small-subset
10 images from synthia dataset for exploration and understanding structure.