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Python framework to measure differential cross-sections of particle physics processes using classical- and quantum-computing based unfolding techniques.
Quantum Annealing for distribution unfolding in experimental High-Energy Physics
The Open Jobs Observatory public mirror repo
Simple and Effective Few-Shot Named Entity Recognition with Structured Nearest Neighbor Learning
Open source code for AlphaFold 2.
Repo for blog article about natural gradients
Graph4nlp is the library for the easy use of Graph Neural Networks for NLP. Welcome to visit our DLG4NLP website (https://dlg4nlp.github.io/index.html) for various learning resources!
Code and links to the data for the article "Machine Learning Pipelines with Modern Big DataTools for High Energy Physics"
HEP Event Classification Pipeline with Apache Spark
PyTorch implementation of Barlow Twins.
Basketball GM (and other ZenGM games) are single-player sports management simulation games, made entirely in client-side JavaScript.
🦄 State-of-the-Art Conversational AI with Transfer Learning
Historic Tale Construction Kit - opensource and customizable version !
Variational Quantum Circuits for Deep Reinforcement Learning since 2019. Xanadu Quantum Software Competition 1st Prize 2019.
TensorFlow for macOS 11.0+ accelerated using Apple's ML Compute framework.
Platform for designing and evaluating Graph Neural Networks (GNN)
A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems"
Pytorch implementation of JointBERT: "BERT for Joint Intent Classification and Slot Filling"
The Python toolkit for computing with string diagrams.
Text preprocessing, representation and visualization from zero to hero.
An open-source Python framework for hybrid quantum-classical machine learning.
An agent to enable remote management of your EC2 instances, on-premises servers, or virtual machines (VMs).
Single Headed Attention RNN - "Stop thinking with your head"
Graph Neural Networks with Keras and Tensorflow 2.
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more