Published inTowards Data ScienceComplete tutorial on building images using DockerEverything you need to know to write Dockerfile and run containers using Docker with an example of setting up Ubuntu, Miniconda, PyTorch.Oct 3, 2021Oct 3, 2021
Data augmentation with learnable Resizer network for Image ClassificationResizer is a learnable model to down-sample images before passing it to an image classification model.Sep 17, 2021Sep 17, 2021
Published inTowards Data ScienceWriting custom CUDA kernels with TritonTriton is a language compiler to write highly optimized CUDA kernels. Learn the basics of GPU programming and how to use Triton.Sep 12, 2021Sep 12, 2021
Published inTowards Data ScienceComplete tutorial on how to use Hydra in Machine Learning projectsLearn everything you need to know on how to use Hydra in your machine learning projects. All features of Hydra are discussed with code.Mar 13, 20212Mar 13, 20212
What can neural networks reason about?Neural network structures that align better with the underlying reasoning algorithm generalize better in reasoning tasks.Nov 7, 2020Nov 7, 2020
How to setup personal blog using Ghost and Github hostingSetup Ghost from source on local machine and use default Casper theme. Host the blog on Github for free.May 30, 2020May 30, 2020
Study of Mish activation function in transfer learning with code and discussionA Resnet50 model is tested by using Mish in its FC layers. Also, a detailed discussion of the paper is done with code implementations.Nov 11, 2019Nov 11, 2019
Multi-Sample Dropout: Method that reduces the training time by 4 timesBy using multiple samples for the dropout layer the training loss can converge 4 times faster without much overheadJun 17, 2019Jun 17, 2019
Reproducing Leslie N. Smith’s papers using fastaiPapers that introduced cyclic learning, super-convergence are discussed and reproduced for CIFAR-100 and hyper-parameter tuning is…Jun 17, 2019Jun 17, 2019
How to become an expert in NLP in 2019 (1)Complete list of resources that will provide you with all the theoretical background in the latest NLP research and techniques.May 15, 20191May 15, 20191