Site infrastructure for gwern.net. Custom Hakyll website with unique link archiving, popup UX, transclusions/collapses, dark+reader mode, bidirectional backlinks, and typography (sidenotes, dropcap…

A modern, colorful directory listing tool for the command line 🗃️

A series of math-specific large language models of our Qwen2 series.

A list of microgrant programs for your good ideas

Print and Capture any DocSend deck or document

with 100k context windows on the way, it's now feasible for every dev to have their own smol developer

🔊 Text-prompted Generative Audio Model

An experimental open-source attempt to make GPT-4 fully autonomous.

Medplum is a healthcare platform that helps you quickly develop high-quality compliant applications.

SDL based Lua programming environment for kids similar to Codea

Free and Open-source Headless CMS and Application Framework built with TypeScript, Node.js, React and MongoDB

A fast and simple framework for building and running distributed applications.

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

Curation of libraries, media, links, and other resources to use Kotlin for data science

A curated list of awesome resources related to capsule networks

Curated list of data science software in Python

A curated list of awesome Clojure libraries and resources. Inspired by awesome-... stuff

This project contains examples which demonstrate how to deploy analytic models to mission-critical, scalable production environments leveraging Apache Kafka and its Streams API. Models are built wi…

Distributed Deep learning with Keras & Spark

Image recognition with Convolutional Neural Networks using Spark & Deeplearning4J

collecting related resources of automated machine learning here

See new version https://github.com/mccorby/PhotoLabeller

The most cited deep learning papers

Reinforcement learning resources curated

A curated list of deep learning resources for computer vision

Going Deeper: Infinite Deep Neural Networks

My Docker scripts and Dockerfile for several frameworks.

The classical papers and codes about generative adversarial nets