Directory
Published directory entries matching your search.
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.
GPT Engineer provides machine-learning models, research, training resources, or evaluation tools.
A portfolio page for Greg (Grzegorz) Surma that lists side projects related to machine learning, computer vision, self-driving cars and iOS development. It indexes apps and experiments, including AI avatars, image filters, depth estimators, a CNN explainer and games, with the tools and platforms used for each.
H2O AutoML is an open-source automatic machine learning tool developed by H2O.ai. It automatically generates features and selections for model building with no coding required. It is part of the H2O.ai platform, with offerings designed for model builders, data scientists, and enterprise developers.
Weights & Biases, developer tools for machine learning.
Heroes Wear Masks provides machine-learning models, research, training resources, or evaluation tools.
HF Learn supports machine learning models, deployment, inspection, datasets, or AI development workflows.
How AI Fails Us Edmond & Lily Safra Center for Ethics provides machine-learning models, research, training resources, or evaluation tools.
Hugging Face provides machine-learning models, research, training resources, or evaluation tools.
A collaboration platform where the machine learning community shares models, datasets and applications. It hosts public models, datasets and Spaces, and offers an open source stack including libraries such as Transformers, Datasets and Accelerate. It also provides paid Compute and Enterprise solutions, with an Inference Providers API giving access to models from multiple AI providers.
Hunyuan provides machine-learning models, research, training resources, or evaluation tools.
Indic LLM Arena provides machine-learning models, research, training resources, or evaluation tools.
Infer.NET is a framework for running Bayesian inference in graphical models. It can be used for machine learning problems such as classification, recommendation or clustering, and for probabilistic programming. It is published as open source on GitHub under the MIT license and available as NuGet packages.
InferKit provides machine-learning models, research, training resources, or evaluation tools.
Invicta provides machine-learning models, research, training resources, or evaluation tools.
IUMB supports machine learning models, deployment, inspection, datasets, or AI development workflows.
Julius provides machine-learning models, research, training resources, or evaluation tools.
Kubeflow is described as the cloud native AI platform, composed of modular open source projects forming a Kubernetes-native stack for data and AI workloads. Its subprojects include Kubeflow Pipelines for building and deploying portable machine learning workflows, Kubeflow Trainer for distributed AI training and LLM fine-tuning, Kubeflow Katib for automated machine learning, Kubeflow Notebooks for interactive development environments, and Kubeflow Hub for indexing models and metadata. It is a Cloud Native Computing Foundation project.
LAION, the Large-scale Artificial Intelligence Open Network, is a non-profit organization that provides datasets, tools and models to support open machine learning research. Its offerings include the LAION-400M dataset of 400 million English image-text pairs, LAION-5B of 5.85 billion multilingual CLIP-filtered pairs, and the CLIP H/14 vision transformer model.
LangChain Docs provides machine-learning models, research, training resources, or evaluation tools.
Licensing is neither feasible nor effective for addressing AI risks provides machine-learning models, research, training resources, or evaluation…
Limits provides machine-learning models, research, training resources, or evaluation tools.
Linear Digressions is a podcast series covering machine learning and AI topics, with episodes such as "LLM as a Judge," a cross-post on AI and podcasting from the Harvard Data Science Review, and a benchmark installment on ExploitGym. One episode examines mechanistic interpretability, described as an approach that opens the model itself to trace why it behaves as it does.
LiteLLM provides machine-learning models, research, training resources, or evaluation tools.
