Stars
😎 A curated list of awesome MLOps tools
Elyra extends JupyterLab with an AI centric approach.
Angular component for Google reCAPTCHA
Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology
Code for the paper "Language Models are Unsupervised Multitask Learners"
A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
TensorFlow binaries supporting AVX, FMA, SSE
Tools for workup of the HAM10000 dataset
Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.
Practical Examples for RNNs in Tensorflow
Public repo for Validating RDF data book
Graph+Semantics: Import/Export RDF from Neo4j. SHACL Validation, Model mapping and more.... If you like it, please ★ ⇧
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.
Common Voice is part of Mozilla's initiative to help teach machines how real people speak.
Various scripts for adding bibliographic information to Wikidata
A Jupyter kernel to launch queries against SPARQL endpoints
Facebook AI Research Sequence-to-Sequence Toolkit
A collaboratively written review paper on deep learning, genomics, and precision medicine
Github mirror of "wikidata/query/rdf" - our actual code is hosted with Gerrit (please see https://www.mediawiki.org/wiki/Developer_access for contributing
Jupyter widget to interactively view molecular structures and trajectories