Proficient AI provides machine-learning models, research, training resources, or evaluation tools.
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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.
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Improving Factuality and Reasoning in Language Models with Multiagent Debate.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
"An Open Source Language Model Specialized in Evaluating Other Language Models.".
Step by step guide to learning Prompt Engineering in 2026.
Prompt Engineering platform. Collaborate, test, evaluate, and monitor your LLM applications.
Promptly provides machine-learning models, research, training resources, or evaluation tools.
Open-source tool to simplify the process of creating and managing LLM workflows and prompts as a self-hosted solution.
"Optimize Your Prompts to Perfection".
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
A general-purpose network embedding framework: pair-wise representations optimization Network Edit.
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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Another Python Machine Learning Library.
Algorithmic Trading with Machine Learning.
Open-source, low-code machine learning library in Python that automates machine learning workflows.
Python Library for Probabalistic Programming (Bayesian Inference and Machine Learning).
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Python interface for converting Penn Treebank trees to Stanford Dependencies.
A Python library for secure and private Deep Learning built on PyTorch and TensorFlow.