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A comprehensive set of fairness metrics for datasets and machine learning models.
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Code and documentation to train Stanford's Alpaca models, and generate the data.
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Fast Neural Networks framework built on top of Metal. Supports TensorFlow models.
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Accessible large language models via k-bit quantization for PyTorch.
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"Tips and tricks for working with Large Language Models like OpenAI's GPT-4".
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Track your datasets, code changes, experimentation history, and models.
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A comparative framework for multimodal recommender systems with a focus on models leveraging auxiliary data.
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The Deep Learning GPU Training System (DIGITS) is a web application for training deep learning models.
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A Python package to assess and improve fairness of machine learning models.
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FastEdit aims to assist developers with injecting fresh and customized knowledge into large language models efficiently using one single command.
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A Scala library for constructing probabilistic models.
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Ignite your models into blazing-fast machine learning APIs with a modern framework.
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Finds accurate ML models automatically, efficiently and economically.
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Running large language models on a single GPU for throughput-oriented scenarios. (Archived).
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A curated list of generative deep learning tools, works, models, etc. for artistic uses, by @filipecalegario.
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Testing framework dedicated to ML models, from tabular to LLMs. Detect risks of biases, performance issues and errors in 4 lines of code.
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An open source Go transpiler for machine learning models.
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Making large AI models cheaper, faster and more accessible.
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A service for deployment Apache Spark MLLib machine learning models as realtime, batch or reactive web services.
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A delightful machine learning tool that allows you to train/fit, test and use models without writing code.
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A toolkit to help understand models and enable responsible machine learning.
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A series of open-source MoE language models by Moonshot AI for agentic tasks. opensource.
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Energy-based machine learning models built upon PyTorch.
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The llama-cpp-agent framework is a tool designed for easy interaction with Large Language Models.