saadhashmi91 Goto Github PK
Name: Saad Hashmi
Type: User
Bio: Software Engineer
Location: Islamabad, Pakistan
Name: Saad Hashmi
Type: User
Bio: Software Engineer
Location: Islamabad, Pakistan
A project to calculate real-time trending topics of online hangouts RSVPs
Assignments for the course ALTEGRAD (Advanced learning for text and graph data) at ENS Paris-Saclay Masters MVA
Initial ideas to compare using similarity between tasks and dataset
A neural named entity recognition and multi-type normalization tool for biomedical text mining
Uses SciSpacy NER models to extract biomolecular (protein, dna, gene, taxon, cell type, etc.) named entities.
Common resources shared among all task repositories
Neural multi-doc question answering on the CORD-19 dataset
Builds a knowledge graph from the [COVID-19 Open Research Dataset (CORD-19)](https://pages.semanticscholar.org/coronavirus-research) dataset.
A Curation of papers related to Deep Learning and Knowledge Graph based Question Answering and Relation Extraction
A Program to run encrypted jars
Distributed Prometheus time series database
Material for the workshop 'Foundations fo Streaming'
A framework for PSL inference.
HBAM: Hierarchical Bi-directional Word Attention Model
An akka based workflow to showcase actor-based parallelism and error recovery.
A Java utility to encrypt jar files to be run securely without possibility of de-compiling your private java/scala code
Key-Value Memory Networks for Directly Reading Documents, Alexander Miller, Adam Fisch, Jesse Dodge, Amir-Hossein Karimi, Antoine Bordes, Jason Weston https://arxiv.org/abs/1606.03126
Kiama is a Scala library for language processing. It enables convenient analysis and transformation of structured data. The programming styles supported by the library are based on well-known formal language processing paradigms, including attribute grammars, tree rewriting, abstract state machines, and pretty printing.
The official implementation of ICLR 2020, "Learning to Retrieve Reasoning Paths over Wikipedia Graph for Question Answering".
My Attempt for Meeshkan Machine Learning Challenge. It is Twitter Authorship Attribution using a Deep Learning Model.
A Python Script for Nifi ExecuteScript Processor to Convert CSV File to HTML Table. Based on dbohdan's csv2html.
An example of String Matching
My attempt at solving the "Detecting Contractor Fraud" Palantir Coding Interview Hackerrank Challenge
Code for PaperRobot: Incremental Draft Generation of Scientific Ideas
A Http Python Server to restart spark jobs upon receiving error message. Also emails the job error to emails stored in environment variables.
My Attempt for Revolut FinCrime Data Science Challenge
The project highlights creating a CSV Codec Library written in Scala 3 using it's latest meta-programming features.
A Apache Nifi Custom Processor to decode NRTRDE Source Roaming Files to JSON flow-files.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.