itharindu Goto Github PK
Type: User
Company: University of Manchester
Bio: PhD candidate at the University of Manchester who is passionate about Machine Learning and Data Science
Location: United Kingdom
Type: User
Company: University of Manchester
Bio: PhD candidate at the University of Manchester who is passionate about Machine Learning and Data Science
Location: United Kingdom
Dialogue policy optimization in low resource setting
Building a task-oriented conversational agent for low resource setting using RL for dialogue policy optimization and ensembling for Natural Language Understanding
🚀 A simple way to train and use PyTorch models with multi-GPU, TPU, mixed-precision
Behavioral analytics through time series analysis. The time series is used to predict the behavioral patterns and outlier detection is done by comparing real patterns with these behavioral patterns
Provide Semantic Parsing solutions and Natural Language Inferences for multiple languages following the idea of the syntax-semantics interface.
Take CCG parses and add monotonicity information on every constituent
A trend starts from "Chain of Thought Prompting Elicits Reasoning in Large Language Models".
Dialog policy optimization for task-oriented conversational agents in low resource setting using Reinforcement learning. The methodology is based on a novel probability based Self-play technique and a novel Reward based sampling technique that prioritizes failed dialogues over successful ones
🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
Code(winning solution) for the fare calssification challenge which is a private competition hosted at kaggle whrere the goal of the competition is to classify fare as correct or not
We investigate how generalised quantifiers affect the behaviour of transformer-based language models employing the textual entailment problem defined in a purely logical sense, namely, model-checking with natural language.
Practical Gremlin - An Apache TinkerPop Tutorial
Evaluation for the GSoC 2020 project: Manipulation of massive astronomical data using graphs
Tutorials and training material for the H2O Machine Learning Platform
System to identify and track hand movements in a video stream with a ego centric view point
Repository with data and experiments regarding inference generation.
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
Notebooks that support https://python-advanced.quantecon.org
Notebooks for https://python.quantecon.org
This repository contains an entailment dataset for propositional logic, and code for generating that dataset. It also contains code for parsing the dataset in python.
Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"
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.