github.com
Julia package for working with various human languages.
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aimultiple.com
Discover the large language models examples with insights on business adoption, language model training, and influential models.
github.com
Lightweight library to build and train neural networks in Theano.
github.com
Energy-based machine learning models built upon PyTorch.
lev.la
Pushing the frontier of neural imaging.
github.com
Lifelines is a complete survival analysis library, written in pure Python.
github.com
Lightly is a computer vision framework for self-supervised learning.
github.com
Explaining the predictions of any machine learning classifier.
github.com
A comprehensive toolkit to build Machine Learning applications with Rust.
alias-i.com
A tool kit for processing text using computational linguistics.
github.com
A graph sampling extension library for NetworkX with a Scikit-Learn like API.
livebench.ai
A Challenging, Contamination-Free LLM Benchmark.
github.com
A header-only C++11 Neural Network library. Low dependency, native traditional chinese document.
github.com
The llama-cpp-agent framework is a tool designed for easy interaction with Large Language Models.
blog.steelph0enix.dev
Psst, kid, want some cheap and small LLMs?
github.com
Build agents which are controlled by LLMs.
airtrain.ai
No-code batch compute platform for LLM evaluation and tuning workloads.
docs.clarifai.com
Documentation for LLM Evaluation Clarifai Guide, covering setup, features, and practical usage.
x.com
Llm Stats is an AI chat or model resource for writing, coding, research, prompts, and assistant workflows.
go.kolena.com
Download this free LLM Testing Guide.
github.com
Extensible Toolkit for Finetuning and Inference of Large Foundation Models.
github.com
Build, train, and ship custom machine learning models using an easy visual interface.
hammerai.com
Local is an AI tool or resource for chat, research, automation, media generation, or model development.
github.com
Inspired on Private GPT with the GPT4ALL model replaced with the Vicuna-7B model and using the InstructorEmbeddings instead of LlamaEmbeddings.