ihalage Goto Github PK
Name: Achintha Avin Ihalage
Type: User
Bio: PhD student at Queen Mary University of London. Working on the applications of machine learning in materials discovery and electromagnetic modelling.
Location: London, UK
Name: Achintha Avin Ihalage
Type: User
Bio: PhD student at Queen Mary University of London. Working on the applications of machine learning in materials discovery and electromagnetic modelling.
Location: London, UK
AIMat - An AI based software to predict the dielectric properties of composite materials. Implemented for 5G materials discovery
A beautiful, simple, clean, and responsive Jekyll theme for academics
An implementation of the AlphaZero algorithm for Gomoku (also called Gobang or Five in a Row)
Unsupervised fingerprinting of disordered solids leading to analogical materials discovery.
RNN based spoken digit recognizer
Deep neural network for license plate recognition. Vehicle tracking and parking violation notification.
Software to study polarization of crystalline solids with density functional all-electron package
Caffe: a fast open framework for deep learning.
Neural Network for character recognition. From the scratch using python and using tensorflow
[unmaintained] go to https://github.com/suriyadeepan/practical_seq2seq
Modelling of ferroelectric-dielectric composite materials using human-machine interactive learning
Formula graph self-attention network for representation-domain independent materials discovery (Finder)
gpt4all: an ecosystem of open-source chatbots trained on a massive collections of clean assistant data including code, stories and dialogue
A toolkit for developing and comparing reinforcement learning algorithms.
Deep Reinforcement Learning for Keras.
Graduate School LaTeX templates for Lab rotation proposal + report, OIST beamer and Thesis + thesis proposal
Supplementary Materials for Tshitoyan et al. "Unsupervised word embeddings capture latent knowledge from materials science literature", Nature (2019).
Matbench: Benchmarks for materials science property prediction
Ongoing research training transformer language models at scale, including: BERT
MetaZero - A reinforcement learning program to optimise metasurface radar cross section (RCS) by self-playing. Inspired by AlphaZero.
An unnecessarily tiny and minimal implementation of GPT-2 in NumPy.
Python Materials Genomics (pymatgen) is a robust materials analysis code that defines classes for structures and molecules with support for many electronic structure codes. It powers the Materials Project.
A convolutional neural network for for point target detection using radar signal data
Simple python-only code to have a voice conversation with ChatGPT.
A repo to fix some of Texmakers Bugs
Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines of code.
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.