Graph explorer Hardware
Company ecosystem around MacBook Air (Apple M5)
What an organization develops, owns, operates — two hops. Click a node to inspect it, double-click to expand, drag to pan, wheel to zoom.
64 nodes · 92 edges
64 nodes · 92 edges
100% · drag to pan · wheel or pinch to zoom · double-click a node to expand
Every node, as a list (64)
- PaperPROOF-Gen: From Optimized Data to Better DistillationApple
- Frameworkmlx-lmApple ML Explore (MLX)
- PaperDiscoSign: Discourse-Aware Text to Sign Language Gloss TranslationApple
- PaperSimpleDesign: A Joint Model for Protein Sequence and Structure CodesignApple
- CompanyApple
- HardwareApple M6Apple
- HardwareApple M1 ProApple
- HardwareMacBook Pro (Apple M5)Apple
- HardwareMacBook Pro (Apple M5 Pro)Apple
- FrameworkmlxApple ML Explore (MLX)
- ModelFastVLM-0.5BApple
- PaperFrom Preferences to Principles: Rubric-Based Alignment for Grounded Knowledge AnswersApple
- ModelMobileCLIP-S1-OpenCLIPApple
- Modelmobilevitv2-1.0-imagenet1k-256Apple
- ModelOpenELM-1_1B-InstructApple
- Repositoryml-fastvlmApple
- HardwareApple M5 MaxApple
- HardwareApple M1Apple
- HardwareApple M1 MaxApple
- HardwareApple M1 UltraApple
- HardwareApple M2Apple
- HardwareApple M2 ProApple
- HardwareApple M2 MaxApple
- HardwareApple M2 UltraApple
- HardwareApple M3Apple
- HardwareApple M3 ProApple
- HardwareApple M3 UltraApple
- HardwareApple M4Apple
- HardwareApple M4 ProApple
- HardwareApple M4 MaxApple
- LabApple ML Explore (MLX)
- Modeldeeplabv3-mobilevit-xx-smallApple
- Modelmobilevit-xx-smallApple
- HardwareiMac (Apple M4)Apple
- PaperLuce: Relightable Gaussians for 3D Asset GenerationApple
- PaperIDEA Prune: An Integrated Enlarge-and-Prune Pipeline in Generative Language Model PretrainingApple
- PaperAgent Seer: Synthesizing Scenarios from Specification UnderstandingApple
- PaperLLMs Are Not (Consistently) Bayesian: Quantifying Internal (In)consistencies of LLMs’ Probabilistic BeliefsApple
- PaperREFACTOR-VLA: Unsupervised Library Learning of Typed Motor ProgramsApple
- PaperPutting Captions to the Test: Evaluating Video Caption Quality through Multiple-Choice Question AnsweringApple
- HardwareMac Studio (Apple M5 Max)Apple
- HardwareMac Studio (Apple M5 Ultra)Apple
- HardwareApple M3 MaxApple
- HardwareApple M5Apple
- HardwareApple M5 ProApple
- HardwareMac mini (Apple M6)Apple
- HardwareMac mini (Apple M5 Pro)Apple
- HardwareMacBook Pro (Apple M5 Max)Apple
- HardwareMacBook Air (Apple M5)Apple
- HardwareApple M5 UltraApple
- Artifactcoreml-mobileclipApple
- ModelDFN2B-CLIP-ViT-B-16Apple
- ModelDFN5B-CLIP-ViT-H-14-378Apple
- ModelDFN5B-CLIP-ViT-H-14Apple
- Modelaimv2-large-patch14-224-litApple
- ModelDFN2B-CLIP-ViT-L-14Apple
- ModelDepthPro-hfApple
- ModelMobileCLIP-S2-OpenCLIPApple
- ModelDFN2B-CLIP-ViT-L-14-39BApple
- Modelmobilevit-smallApple
- ModelDepthProApple
- ModelOpenELM-270MApple
- ModelFastVLM-1.5BApple
- ModelSharpApple