saraswat Goto Github PK
Name: Vijay Saraswat
Type: User
Location: New York
Blog: http://www.saraswat.org
Name: Vijay Saraswat
Type: User
Location: New York
Blog: http://www.saraswat.org
Code for Injecting Logical Background Knowledge into Embeddings for Relation Extraction
Max-Margin Markov Graph Models for WordNet (EMNLP 2018)
Official Implementation of Learning Diverse and Discriminative Representations via the Principle of Maximal Coding Rate Reduction (2020)
Meandering In Networks of Entities to Reach Verisimilar Answers Edit Add topics
Models built with TensorFlow
Monadic Constraint Programming framework
Clone of bitbucket project by Munkhdalai implemented Neural Semantic Encoders
The simplest, fastest repository for training/finetuning medium-sized GPTs.
For the paper: "Semi-Supervised Structured Prediction with Neural CRF Autoencoder"
Reimplementation of Munkhdalai et al's Neural Semantic Encoders (https://arxiv.org/pdf/1607.04315v2.pdf)
An attempt to replicate the neural programmer work [Neelakantan et al 2016, 2017] using techniques for learning probability distributions in probabilistic programming languages.
Named-entity recognition using neural networks. Easy-to-use and state-of-the-art results.
My bibliography of NLP papers
NLP framework for JVM languages.
Neural Logic Reasoning for Question Answering
NLTK Source
Short notes on technical topics.
End-to-End Differentiable Proving
OKR: A Consolidated Open Knowledge Representation for Multiple Texts
Keras implementation of ontology aware token embeddings
Examples and guides for using the OpenAI API
OpenCCG library for parsing and realization with CCG
This is the primary repository for the source code of the OpenJML project. The source code is licensed under GPLv2 because it derives from OpenJDK which is so licensed. The active issues list for OpenJML development is here and the wiki contains information relevant to development. Public documentation for users is at the project website:
Implementation of RLHF (Reinforcement Learning with Human Feedback) on top of the PaLM architecture. Basically ChatGPT but with PaLM
A framework for training and evaluating AI models on a variety of openly available dialog datasets.
Semantic parser induction using a generative model of grammar.
Links to interesting English parsers
Sequential Monte Carlo in python
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.