-
Los Alamos National Laboratory
- Santa Fe, NM
- seatonullberg.github.io
Stars
Robust Speech Recognition via Large-Scale Weak Supervision
Open-Source API Development Ecosystem • https://hoppscotch.io • Offline, On-Prem & Cloud • Web, Desktop & CLI • Open-Source Alternative to Postman, Insomnia
DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers.
A beautiful, simple, clean, and responsive Jekyll theme for academics
An open access book on scientific visualization using python and matplotlib
A work-in-progress, open-source, multi-player city simulation game.
High accuracy RAG for answering questions from scientific documents with citations
Fast, correct Python JSON library supporting dataclasses, datetimes, and numpy
➷ A robust Javascript library for capturing keyboard input. It has no dependencies.
Step-by-step guide through the abstract and complex universe of Fragment Shaders.
Lark is a parsing toolkit for Python, built with a focus on ergonomics, performance and modularity.
A library of common data structures and algorithms written in C.
Public development project of the LAMMPS MD software package
Multilingual Automatic Speech Recognition with word-level timestamps and confidence
Graph Neural Networks with Keras and Tensorflow 2.
tiny recursive descent expression parser, compiler, and evaluation engine for math expressions
Noise reduction in python using spectral gating (speech, bioacoustics, audio, time-domain signals)
Unofficial Parallel WaveGAN (+ MelGAN & Multi-band MelGAN & HiFi-GAN & StyleMelGAN) with Pytorch
A high performance Python graph library implemented in Rust.
Serde serializable and deserializable trait objects
Real-life RESTful server example on Flask-RESTplus
A cross-platform multi monitor wallpaper manager.
Graph Transformer Architecture. Source code for "A Generalization of Transformer Networks to Graphs", DLG-AAAI'21.
🧪 single header unit testing framework for C and C++
Crystal graph convolutional neural networks for predicting material properties.
End-To-End Molecular Dynamics (MD) Engine using PyTorch