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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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godmode.space
Godmode provides machine-learning models, research, training resources, or evaluation tools.
magenta.tensorflow.org
Magenta is an open source research project exploring the role of machine learning as a tool in the creative process, focused on art and music. It includes Magenta Studio, a collection of music plugins for Ableton Live, and Magenta RealTime 2, an open model and real-time neural synthesis engine.
lovable.dev
GPT Engineer provides machine-learning models, research, training resources, or evaluation tools.
cse.unr.edu
Personal page of Hakan Kardes, a principal scientist whose listed research interests include big data, record linkage, data mining, graph theory, social networks and Internet measurements. The page lists publications on topics such as connected component computation in MapReduce, address parsing and organization entity resolution.
Helps find, analyze or synthesize information for research and knowledge discovery.
github.com
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
github.com
Haystack is an open-source AI orchestration framework for building production-ready LLM applications in Python. It provides modular pipelines and agent workflows with explicit control over retrieval, routing, memory and generation, and is intended for RAG systems, multimodal applications, semantic search, question answering and autonomous agents. Installation is available via pip.
jovo.tech
Heroes Wear Masks provides machine-learning models, research, training resources, or evaluation tools.
github.com
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
ethics.harvard.edu
How AI Fails Us Edmond & Lily Safra Center for Ethics provides machine-learning models, research, training resources, or evaluation tools.
huggingface.co
Hugging Face provides machine-learning models, research, training resources, or evaluation tools.
hunyuan.tencent.com
Hunyuan provides machine-learning models, research, training resources, or evaluation tools.
github.com
Hyperopt is an open-source Python library available on GitHub, designed to provide distributed asynchronous hyperparameter optimization functionality for tuning machine learning models in development workflows, production environments, as well as research settings.
ibm.com
IBM Watson is enterprise AI technology from IBM. IBM Research began work in 2007 on a computer system to compete at Jeopardy!, and in 2011 the Watson system defeated two top-ranked players. Watson technology became available as a cloud development platform in 2013. In 2023 IBM announced the watsonx AI portfolio for training, tuning and distributing models.
Pix2pix implementation in keras. The repository provides code to download the facades dataset, install requirements, and start training, and it references the original Image-to-Image Translation with Conditional Adversarial Networks paper.
github.com
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
arena.ai4bharat.org
Indic LLM Arena provides machine-learning models, research, training resources, or evaluation tools.
inferkit.com
InferKit provides machine-learning models, research, training resources, or evaluation tools.
github.com
AI-native database built for LLM applications, providing incredibly fast vector and full-text search.
github.com
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
github.com
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
github.com
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
github.com
InterpretML is an open-source package that collects machine learning interpretability techniques. It allows training interpretable glassbox models and explaining blackbox systems, to understand a model's global behavior or the reasons behind individual predictions. It includes the Explainable Boosting Machine, developed at Microsoft Research, plus other glassbox models and blackbox explainers.