ajitrajasekharan Goto Github PK
Name: Ajit Rajasekharan
Type: User
Bio: Machine learning practitioner
Twitter: ajitvraj
Name: Ajit Rajasekharan
Type: User
Bio: Machine learning practitioner
Twitter: ajitvraj
This is a log of what I learn and work I have done that yielded usable results
BERT's MLM head model exposed as a service
This is an example program illustrating BERTs masked language model.
Clustering learned BERT vectors for downstream tasks like unsupervised NER, unsupervised sentence embeddings etc.
For supervised text classification tasks, use of CLS to represent sentence to detect OOD inputs relative to training set. Sentence representations are harvested from a self-supervised model (e.g. BERT)
Comparison of codebook vectors of autoencoders (DALLE's dVAE vs VQGAN) that map any image to a fixed vocabulary of vectors
Simple wrapper to fine tune and test a BERT model for sentence classificaition
Prototype for image text detection, recognition, and redaction. The models used can detect horizontal print and handwritten text. It cannot detected slanted /curved text etc.
A http interface wrapper around Dat Quoc Nguyen's Joint POS tagging and Dependency parser.
An existing C++ CRF based POS tagger exposed as a service (suitable for fast POS tagging at scale)
Scripts to set up an nvidia GPU machine (ubuntu)
This is a tweaked version of self-supervised NER for tagging phrases
This is a test set to evaluate self-supervised NER. Repository evaluates 11 preprocessed data datasets spanning biomedical domain as well as patient privacy related entities (person,location,organization)
Fine-tuned BERT model for POS tagging
Breaks down paragraph into sentences on period char taking into account not breaking on period in numeric sequences and abbreviations
This is a simple present/past tense detector of a sentence using DEP-POS tagger
Self-supervised NER prototype - updated version (69 entity types - 17 broad entity groups). Uses pretrained BERT models with no fine tuning. State-of-art performance on 3 biomedical datasets
A mixed grab bag of utilities
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.