GPT4All: Run Local LLMs on Any Device. Open-source and available for commercial use.

The simplest, fastest repository for training/finetuning medium-sized GPTs.

Code and documentation to train Stanford's Alpaca models, and generate the data.

🐙 Guides, papers, lecture, notebooks and resources for prompt engineering

A library for efficient similarity search and clustering of dense vectors.

Hands-on, practical knowledge of how to use neural networks and deep learning with Keras 2.0

High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization machines (FM), and field-aware factorization machines (FFM) for Python and CLI …

A curated list of gradient boosting research papers with implementations.

Gradient boosting decision trees.

code for our NAACL 2019 paper: "BERT Post-Training for Review Reading Comprehension and Aspect-based Sentiment Analysis"

Empirical Evaluation on Current Neural Networks on Cloze-style Reading Comprehension

Roots is a starting WordPress theme made for developers based on HTML5 Boilerplate & Bootstrap from Twitter.

WordPress starter theme with Laravel Blade components and templates, Tailwind CSS, and block editor support

Let's bring Readability to Chrome!