Kaustav MandalinexemplifyML.aiA nostalgic trip down Transformer Lane — Sentiment/Text Classification using TransformersA tour on the basics of attention, positional encodings and multi-head attention used in a simple transformer based classification projectDec 15, 20222Dec 15, 20222
Kaustav MandalinexemplifyML.aiIn Pursuit of Elusive Low Latency for LSTM Timeseries Model Inference — via TorchScript and ONNXIn pursuit of low latency for customized timeseries LSTM model inference — journey from python centric models to TorchScript and onwards…Oct 22, 2022Oct 22, 2022
Kaustav MandalinexemplifyML.aiA nostalgic trip down Autoregressive / Timeseries RNN lane — Predictive Text GenerationPredictive Text generation using autoregressive / timeseries RNN variants trained on IMDB movie reviewsSep 18, 2022Sep 18, 2022
Kaustav MandalinexemplifyML.aiA nostalgic trip down RNN Lane — Rudimentary Text Classification using Multi GPUsRNN basics, building a simple text classification RNN using multi GPU with PytorchAug 18, 2022Aug 18, 2022
Kaustav MandalinexemplifyML.aiVisualizing Neural Network ActivationSynopsis: Visualize feature map activation on ConvNeXt using the Food 101 datasetJun 4, 2022Jun 4, 2022
Kaustav MandalinexemplifyML.aiModel Deployment using TorchServeSynopsis: Deploy a trained ConvNeXt-B model on TorchServe for realtime image classification using the categories present in the…May 30, 2022May 30, 2022
Kaustav MandalinexemplifyML.aiImage Classification with ResNet, ConvNeXt using pytorchSynopsis: Image classification with ResNet, ConvNeXt along with data augmentation techniques on the Food 101 datasetMay 28, 2022May 28, 2022
Kaustav MandalinexemplifyML.aiMulti GPU Training In PytorchIn this tutorial, we will see how to leverage multiple GPUs in a distributed manner on a single machine for training models on Pytorch.May 25, 2022May 25, 2022
