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Johns Hopkins University
- Baltimore
- gabrielkp.com
Stars
Code accompanying data release of natural language listening fMRI data (LeBel et al.)
Corpus of naturalistic stories with annotation and psycholinguistic measures
A Python tool for collecting information when reporting bugs.
A tutorial for writing a systemd service in Python
QOwnNotes is a plain-text file notepad and todo-list manager with Markdown support and Nextcloud / ownCloud integration.
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
A library for neuroscience-inspired navigation and decision making research.
Fully featured, open source, privacy friendly email app for Android
🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools
Language Modeling Example with Transformers and PyTorch Lighting
An implementation of masked language modeling for Pytorch, made as concise and simple as possible
An icon taskbar for the Gnome Shell. This extension moves the dash into the gnome main panel so that the application launchers and system tray are combined into a single panel, similar to that foun…
A cross-platform command-line utility that creates projects from cookiecutters (project templates), e.g. Python package projects, C projects.
A very simple framework for state-of-the-art Natural Language Processing (NLP)
An introduction to Python 3 type annotations, using lots of simple, hackable examples
The best way to write secure and reliable applications. Write nothing; deploy nowhere.
Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node
A Python library for the Philips Hue system
My personal website - built with React, React-Router, React-Snap for Static-Export, and GitHub Pages.
[ACL 19] Fine-tuning Pre-Trained Transformer Language Models to Distantly Supervised Relation Extraction
[AKBC 19] Improving Relation Extraction by Pre-trained Language Representations