A comprehensive toolkit to build Machine Learning applications with Rust.
Directory
Models & Machine Learning
Models and machine learning covers model hubs, research papers, training guides and evaluation tools. The topic mixes practical resources with reference material, so you will find repositories that host downloadable models next to sites that explain how a technique works. Some entries are collections of papers or benchmarks, and others are tutorials that walk through fine-tuning or deployment. It pays to compare the model licence, the training data, the hardware needed and the date of the last update. The field moves quickly, so verify version notes on the source before you build on anything listed here.
A tool kit for processing text using computational linguistics.
LiteLLM provides machine-learning models, research, training resources, or evaluation tools.
A graph sampling extension library for NetworkX with a Scikit-Learn like API.
A Challenging, Contamination-Free LLM Benchmark.
A header-only C++11 Neural Network library. Low dependency, native traditional chinese document.
The llama-cpp-agent framework is a tool designed for easy interaction with Large Language Models.
A hub of integrations for LlamaIndex including data loaders, tools, vector databases, LLMs and more.
Psst, kid, want some cheap and small LLMs?
Provides a central interface to connect your LLM's with external data.
LlamaIndex is a data framework for your LLM applications.
A data framework for building LLM applications over external data.
Build agents which are controlled by LLMs.
LLM App is a Python library that helps you build real-time AI-powered data pipelines with few lines of code.
Research on evaluation of LLMs conducted by Microsoft Research and other collaborated institutes. (Updated at: 2023/10).
No-code batch compute platform for LLM evaluation and tuning workloads.
Documentation for LLM Evaluation Clarifai Guide, covering setup, features, and practical usage.
LLM Evaluation Metrics: Everything You Need for LLM Evaluation - Confident AI provides machine-learning models, research, training resources, or…
Download this free LLM Testing Guide.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
LLMSTXT.NEW provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Extensible Toolkit for Finetuning and Inference of Large Foundation Models.
LMQL provides machine-learning models, research, training resources, or evaluation tools.