The AI Museum
AI Analytics1,072 recordsRecounted 23 September 2026

Models in 2015

Weightsopenclosedunknownfrontier only
Year20262025202420232022202120202019201820172016
1 filter active, showing 29 of 1,072 recordsClear all

29

Models

20 organisations

31%

Open weights

5 open, 11 closed

4

Frontier

By Epoch's flag

138M

Largest traceable

VGG-Face

2015

Span

12 with a traceable size

Releases

by month
Jan
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Apr
May
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Jul
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Organisation

Country

Domain

Records

29
Models in 2015, newest first. Each row links to the source Epoch AI records for it.
ModelOrganisationReleasedParametersWeights
Advantage LearningGoogle DeepMind2015-12—Not recorded
Inception v3Google2015-1224M *Not recorded
Netflix Recommender SystemNetflix2015-12—Not recorded
ResNet-101 (ImageNet)Microsoft2015-1245MOpen
ResNet-110 (CIFAR-10)Microsoft2015-122M *Not recorded
ResNet-152 (ImageNet)Microsoft2015-1260MNot recorded
SSD2015-12—Open
Variational (untied weights, MC) LSTM (Large)University of Cambridge2015-1266MClosed
3DDFAChinese Academy of Sciences2015-115MClosed
Multi-scale Dilated CNNPrinceton University2015-11—Not recorded
AlphaGo FanDeepMind2015-108M *Closed
SAF R-CNNBeijing Institute of Technology2015-10138M *Closed
Deep Deterministic Policy GradientsGoogle DeepMind2015-09—Not recorded
BPEUniversity of Edinburgh2015-08—Not recorded
DCNNUniversity of Maryland2015-085MClosed
CompACT-DeepUniversity of California San Diego2015-07—Closed
Deep CNN + COTSIEEE2015-075MClosed
BatchNormGoogle2015-0614MNot recorded
CFSSSenseTime2015-0617,408 *Open
Faster R-CNNMicrosoft Research2015-06—Open
YOLOUniversity of Washington2015-06272M *Not recorded
U-NetUniversity of Freiburg2015-0538MOpen
Fast R-CNNMicrosoft Research2015-04—Not recorded
TC-DNN-BLSTM-DNNCarnegie Mellon University (CMU)2015-0418MClosed
genCNN + dyn evalChinese Academy of Sciences2015-038M *Closed
DQN-2015Google2015-022M *Not recorded
MSRA (C, PReLU)Microsoft Research2015-0287MNot recorded
TRPOUniversity of California (UC) Berkeley2015-0233,500Closed
VGG-FaceUniversity of Oxford2015-01138MClosed

An asterisk marks a parameter figure the source does not consider traceable to the people who built the model. That judgement is the source’s and it has false negatives: Kimi K3 is marked speculative at 2.8T while Moonshot’s own model card states the figure. Why that distinction carries the whole exhibit.

Counts are of models Epoch AI records as notable, not of every model released. The most recent month is always incomplete, because a model enters the dataset when it is reviewed rather than when it ships.

Epoch AI, 'Data on AI Models'. Published online at epoch.ai. Retrieved from 'https://epoch.ai/data/ai-models-documentation' Used under CC BY 4.0.

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