A lightweight, multi-tenant, scalable and secure gateway that enables Jupyter Notebooks to share resources across distributed clusters such as Apache Spark, Kubernetes and others.

🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.

Open source annotation tool for machine learning practitioners.

The fastai deep learning library

Gathers machine learning and Tensorflow deep learning models for NLP problems, 1.13 < Tensorflow < 2.0

A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)

On the Variance of the Adaptive Learning Rate and Beyond

State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

Keras callbacks for one-cycle training, cyclic learning rate (CLR) training, and learning rate range test.

A topic-centric list of HQ open datasets.

Very fast SPARQL Engine, which can handle very large knowledge graphs like the complete Wikidata, offers context-sensitive autocompletion for SPARQL queries, and allows combination with text search…

More Accurate Question Answering on Freebase