useful-forks helps research websites, public data, search results, or online communities.
Directory
Search results
Published directory entries matching your search.
Wake Forest University over in Winston-Salem, United States is pretty great for Energy, Medicine and Biochemistry, Genetics and Molecular Biology.
Timeanddate weather page for checking temperatures, forecasts, and conditions by city.
Creates, rewrites or summarizes written content with language models.
Python library for experiment metrics logging into simply formatted local files.
Library for high performance deep learning inference on NVIDIA GPUs.
Linux support forum for troubleshooting distributions, hardware, software, and command-line issues.
TypeScript SDK to easily call 100+ LLMs using OpenAI's format.
Neural networks (boltzmann machines, feed-forward and recurrent nets), Gaussian Processes.
A parallel neural net microframework.
File Parser optimised for LLM Ingestion with no loss. Parse PDFs, Docx, PPTx in a format that is ideal for LLMs.
Qwickly forging AGI, enhancing intelligence.
Creates, rewrites or summarizes written content with language models.
NASOS is a Linux or BSD distribution resource for documentation, releases, support, or community help.
The Levelator is a Linux or BSD distribution resource for documentation, releases, support, or community help.
Internet Archive tool for viewing historical snapshots of websites and archived web pages.
"AI for Good" Campaigns Are the Wrong Approach - IEEE Spectrum provides machine-learning models, research, training resources, or evaluation tools.
A machine learning / bayesian inference assigning attributes to objects.
A simple guide to fine-tuning Llama 2 Brev docs provides machine-learning models, research, training resources, or evaluation tools.
Ability AI provides machine-learning models, research, training resources, or evaluation tools.
Accord.MachineLearning supports AI-assisted research, knowledge retrieval, summarization, or source analysis.
Accord.NET provides machine-learning models, research, training resources, or evaluation tools.
ACE-Step 1.5 supports machine learning models, deployment, inspection, datasets, or AI development workflows.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.