github.com
A low-code framework for building custom AI models like LLMs and other deep neural networks. opensource.
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github.com
TypeScript SDK to easily call 100+ LLMs using OpenAI's format.
github.com
Chinese LLM, Based on LLaMA and fine tune by Stanford Alpaca, Alpaca LoRA, Japanese-Alpaca-LoRA.
macau.uni-kiel.de
Open Access publication service of Kiel University.
github.com
Utilities, tools, and scripts for managing and tracking a fleet of Macintoshes in a corporate environment
redd.it
Reddit link is a Reddit community or thread with discussion, guides, updates, or shared resources.
figshare.mq.edu.au
Browse research datasets and experimental data related to engineering.
github.com
Visual programming for streamers
mxrdr.icm.edu.pl
Browse research datasets and dataset related to chemistry.
github.com
A basic Mastodon client for Classic Mac OS
magicloops.dev
Combine LLMs and code to create simple automations.
mahout.apache.org
Distributed linear algebra framework and mathematically expressive Scala DSL.
github.com
Markov chain Monte Carlo (MCMC) for Bayesian analysis in Julia.
github.com
A chat LLM based on the state-space model architecture.
github.com
A Julia package for manifold learning and nonlinear dimensionality reduction.
man.archlinux.org
Arch Linux manual page search for commands, configuration files, system calls, and package documentation.
Creates, rewrites or summarizes written content with language models.
material-shell.com
Material Shell helps learn, search, or use command-line tools, shell commands, and terminal workflows.
github.com
A Clojure library of optimisation and control theory tools and convenience functions based on Neanderthal.
hairysun.com
Creates, rewrites or summarizes written content with language models.
getmaxim.ai
Helps teams build, deploy, observe or operate machine-learning systems.
github.com
Application-oriented deep reinforcement learning framework addressing real-world decision problems.
github.com
Small Language Model tailored for edge devices.
github.com
MegEngine is a fast, scalable and easy-to-use deep learning framework, with auto-differentiation.