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DSPy

DSPy (short for Declarative Self-improving Python) is an open-source framework, developed at Stanford NLP, for programming rather than prompting large language models (LLMs).

Large Language ModelsMachine Learning

GGUF

GGUF (GPT-Generated Unified Format) is the standard binary file format for storing large language models for local inference, bundling a model's weights, tokenizer, and metadata into a single self-contained…

Large Language ModelsMachine Learning

Gradio

Gradio is an open-source Python library that lets developers build interactive web interfaces for machine learning models, APIs, and arbitrary Python functions in a few lines of code.

Machine LearningOpen Source AI

Kubeflow

Kubeflow is an open-source MLOps platform that runs the entire machine learning lifecycle on Kubernetes, described by its creators as a project "dedicated to making using ML stacks on Kubernetes easy, fast and…

MLOpsMachine Learning

MLflow

MLflow is an open-source platform for managing the end-to-end machine learning lifecycle, covering experiment tracking, model packaging, a model registry, deployment, and (since 2025) generative-AI…

MLOpsMachine Learning

ModelScope

ModelScope is an open-source Model-as-a-Service (MaaS) platform developed by Alibaba Cloud and DAMO Academy and launched on November 3, 2022, that functions as China's largest AI model and dataset hub…

Chinese AIMachine Learning

Ray (framework)

Ray is an open-source distributed computing framework, developed at the University of California, Berkeley's RISELab and commercialized by Anyscale, that lets developers scale Python and artificial…

AI InfrastructureMachine Learning

Safetensors

Safetensors is an open-source tensor serialization format developed by Hugging Face that stores machine learning model weights as raw tensor data plus a small JSON header

Machine LearningOpen Source AI

TensorBoard

TensorBoard is the open-source visualization toolkit for TensorFlow, described by Google as "a suite of visualization tools to understand, debug, and optimize TensorFlow programs for ML experimentation." It…

Data ScienceMachine Learning

llama.cpp

llama.cpp is an open-source large language model inference engine written in C and C++ by Bulgarian software engineer Georgi Gerganov that runs large language models on consumer-grade hardware without…

Large Language ModelsMachine Learning