Creates, rewrites or summarizes written content with language models.
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A curated list of generative deep learning tools, works, models, etc. for artistic uses, by @filipecalegario.
Host inference APIs, bulk inference and fine tune text, vision, audio and multi-modal models.
Testing framework dedicated to ML models, from tabular to LLMs. Detect risks of biases, performance issues and errors in 4 lines of code.
An open source Go transpiler for machine learning models.
Creates, rewrites or summarizes written content with language models.
Hermes Agent helps build, test, automate, or manage AI agents, prompts, models, and API workflows.
Creates, rewrites or summarizes written content with language models.
Creates, rewrites or summarizes written content with language models.
Making large AI models cheaper, faster and more accessible.
A service for deployment Apache Spark MLLib machine learning models as realtime, batch or reactive web services.
Creates, rewrites or summarizes written content with language models.
A delightful machine learning tool that allows you to train/fit, test and use models without writing code.
A toolkit to help understand models and enable responsible machine learning.
AI Interview Assistant for real-time support. Unlimited sessions, dual responses, and AI models.
Creates, rewrites or summarizes written content with language models.
A series of open-source MoE language models by Moonshot AI for agentic tasks. opensource.
Energy-based machine learning models built upon PyTorch.
The llama-cpp-agent framework is a tool designed for easy interaction with Large Language Models.
LM Studio helps build, test, automate, or manage AI agents, prompts, models, and API workflows.
Extensible Toolkit for Finetuning and Inference of Large Foundation Models.
Build, train, and ship custom machine learning models using an easy visual interface.
Using Low-rank adaptation to quickly fine-tune diffusion models.
A low-code framework for building custom AI models like LLMs and other deep neural networks. opensource.