👋 MODEL NPL TESTING Accuracity
👋 Feature Extraction => 2 of 8,275 => 88%
👋 Fill-Mask => 1 of 11,578 => 78%
👋 Question Answering => 2 of 10,735 => 50%
👋 Sentence Similarity=> 2 of 4,195 => 72%
👋 Summarization => 3 of 1,706 => 89%
👋 Text Classification=> 2 of 10,735 => 72%
👋 Text Generation => 2 of 89,535 => 82%
👋 Token Classification=> 8 of 17,147 => 91%
👋 Translation => 2 of 3,525 => 88%
👋 Zero-Shot => 2 of 257 => 70%
%
👋 MODEL COMPUTER VISION TESTING Accuracity
👋 Depth Estimation => 1 of 79 => 81%
👋 Image Classification => 3 of 11,228 => 93%
👋 Image Feature Extraction => 3 of 221 => 92%
👋 Image Segmentation => 4 of 654 => 88%
👋 Image-to-Image => 3 of 384 => 82%
👋 Image-to-Text => 1 of 502 => 81%
👋 Object Detection => 6 of 1866 => 95%
👋 Token Classification=> 8 of 17,147 => 91%
👋 Video Classification => 1 of 826=> 88%
👋 Text-to-Image => 1 of 24184 => 77%
%
👋 MODEL AUDIO TESTING Accuracity
👋 Audio Classification => 1 of 2,185 => 82%
👋 Audio-to-Audio => 1 of 3,748 => 71%
👋 Automatic Speech Recognition => 2 of 16,376 => 94%
👋 Text-to-Speech => 2 of 1,914 => 89%
👋 Text-to-Music => 1 of 3 => 84%
👋 Caption-tracks-to-text => 1 of 2 => 76%
👋 Clothes-Try => 1 of 1 => 91%
👋 ComposerMusic => 1 of 1 => 83%
👋 Tabular Regression & Classification => 1 of 193=> 88%
👋 Visual-to-Text => 1 of 1 => 81%
👋 DistilRoberta-financial-sentiment => 1 of 1 => 98%
%
👋 MLOps & DevOps Pipeline Performance
👋 BentoML & OpenLLM => 5 => 95%
👋 Kubeflow => 9 => 94%
👋 MLFlow => 3 => 89%
👋 MLJar => 3 => 84%
👋 MLRun => 13 => 82%
👋 Sheldon => 7 => 91%
👋 AWS Cloudformation => 19 => 97%
👋 Microsoft Azure => 33 => 95%
👋 Autokeras, NAS, Onnix => 23 => 91%
%
Clothes Try-On
Convolutional Networks
CNN GANS
BRAND & PRODUCT 3D RENDER
Text to Video.
LLM'S NPL-TRY
Fine-tunning Transformers
Elastic Net Lasso
INFERENCE LLMS
LSTM
difussion transformers
Caption music tracks
Text to music.
