Datumbox @Datumbox
Datumbox offers an innovative Machine Learning platform specialized in Natural Language Processing. datumbox.com Joined July 2013-
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I've open-sourced VernamVeil, an experimental cipher written in pure Python, designed for developers curious about cryptography’s inner workings. It’s only about 200 lines of Python code with no external dependencies other than standard Python libraries: blog.datumbox.com/vernamveil-a-f…
TorchVision’s newest API addresses a long-standing request from the community. Read on to find out how it can be used to list and initialize available models & weights by name: bit.ly/3QykfD5
debuggercafe.com/comparing-pyto… New post on DebuggerCafe - Comparing PyTorch ImageNetV1 and ImageNetV2 Weights with Torchvision 0.13 #PyTorch #Torchvision #DeepLearning #TransferLearning
We just merged to TorchVision the SwinTransformerV2 & MViTv2 models, along with pre-trained weights: - swin_v2_t 82.1% - swin_v2_s 83.7% - swin_v2_b 84.1% - mvit_v2_s 80.8% Many thanks to Ren Pang and Yanghao Li for their work: github.com/pytorch/vision… github.com/pytorch/vision…
debuggercafe.com/model-library-… New post on DebuggerCafe - Model Library Updates with PyTorch 1.12. A summary of the major changes that took place with new PyTorch 1.12 #PyTorch #torchvision #DeepLearning
Natural Language Processing with Groovy, OpenNLP, CoreNLP, Nlp4j, Datumbox, Smile, Spark NLP, DJL and TensorFlow blogs.apache.org/groovy/entry/n… #groovylang @ApacheSpark @ApacheGroovy @deepjavalibrary @TensorFlow @ApacheOpennlp @stanfordnlp @haifengl @Datumbox @oyahiroki
TorchVision v0.13 and @PyTorch v1.12 released! 🥳 - New Multi-weight support API with meta-data & preprocessing transforms - Swin Transformer & EfficientNetV2 models - New improved pretrained weights for all popular models - New AugMix, DropBlock & losses pytorch.org/blog/pytorch-1…
We have just merged the MViT architecture in TorchVision. This transformer video model achieves an 78.5% accuracy on Kinetics400. github.com/pytorch/vision… Image variants to be released soon. Many thanks to the @PyTorch Video team for their support! #ComputerVision #MachineLearning
We just merged to @PyTorch's TorchVision an experimental implementation of the Simple Copy-Paste data augmentation that aims to improve the detection models by 1.5 mAP: github.com/pytorch/vision… Massive thanks to our community contributor @Lezwon #ComputerVision #MachineLearning
Here is my latest blog post on @PyTorch's journey to Modernize TorchVision: blog.datumbox.com/the-journey-of… #MachineLearning #ComputerVision #DataScience
The Swin Transformer model was just merged in TorchVision, along with pre-trained weights for swin_t (Acc@1 81.4%). More variants coming soon! Massive thanks to Hu Ye for fully reproducing the results of the paper: github.com/pytorch/vision… #PyTorch #DataScience #ComputerVision
TorchVision refreshed its most popular Detection & Segmentation models to improve their accuracies: - RetinaNet: 41.5 mAP (+5.1) - FasterRCNN: 46.7 mAP (+9.7) - MaskRCNN: 47.4 box mAP (+9.5) / 41.8 mask mAP (+7.2) github.com/pytorch/vision… #MachineLearning #ComputerVision #PyTorch
Say hello to TorchVision's new Multi-weight support API!! It's fully-BC, enables support of multiple pre-trained weights for the same model variant, bundles together the preprocessing transforms & other crucial meta-data: github.com/pytorch/vision… #MachineLearning #ComputerVision
The EfficientNetV2 architecture was just merged in TorchVision. We offer pretained weights on ImageNet with the following Acc@1: - Small 84.2% - Medium 85.1% - Large 85.8% github.com/pytorch/vision… #PyTorch #DataScience #ComputerVision
We just merged the AugMix auto-augmentation strategy to TorchVision. Many thanks to @TheNormanMu and @DanHendrycks for their help & reviews: github.com/pytorch/vision… We also added the Large Scale Jitter transform for Object Detection: github.com/pytorch/vision… #PyTorch #DataScience
The ConvNeXt architecture has graduated from prototype into main TorchVision! We offer improved pre-trained weights, using our latest training recipe, with the following Acc@1: - Tiny 82.5% - Small 83.6% - Base 84.1% - Large 84.4% github.com/pytorch/vision… #PyTorch #ComputerVision
debuggercafe.com/brain-mri-clas… New post at DebuggerCafe - PyTorch EfficientNetB0 for Brain MRI Image Classification #PyTorch #EfficientNet #EfficientNetB0 #TransferLearning #FineTuning #ImageClassification #DeepLearning
We just merged FCOS, the object detection architecture, along with pre-trained weights in TorchVision: github.com/pytorch/vision… Massive thanks to Hu Ye, @zhiq_w and Joao Gomes for their work on fully reproducing the results of the paper: arxiv.org/abs/1904.01355 (1/3)
I just merged to TorchVision a ResNet50 weights update contributed by @tbennun which pushed the accuracy to 80.9%: github.com/pytorch/vision… This recipe+AdamW achieves 82.5% Acc@1 for the newly released ConvNeXt-T: github.com/pytorch/vision… #PyTorch #ComputerVision #MachineLearning
TorchVision introduces a new model API which offers multi-weight support. On the article below, we discuss the proposed changes & request for your feedback. Help us finalize the API by providing your input: lnkd.in/eSXpFuVU #ComputerVision #MachineLearning #PyTorch
TorchVision introduces a new model API which offers multi-weight support. On the article below, we discuss the proposed changes & request for your feedback. Help us finalize the API by providing your input: lnkd.in/eSXpFuVU #ComputerVision #MachineLearning #PyTorch
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