Everything you need to know to write Dockerfile and run containers using Docker with an example of setting up Ubuntu, default user, Miniconda, PyTorch.
Oct 3, 2021
A CNN model is used to learn data augmentation for image classification task. The generated image of the Resizer model is fed into a standard ResNet model for the downstream task. Model is tested on Imagenette and Imagewoof datasets with code to reproduce the experiments.
Sep 17, 2021
Triton is a language compiler to write highly optimized CUDA kernels. Learn the basics of GPU programming and how to use Triton.
Sep 12, 2021
Learn everything you need to know on how to use Hydra in your machine learning projects. All features of Hydra are discussed with a dummy ML example.
Mar 16, 2021
Neural network structures that align better with the underlying reasoning algorithm generalize better in reasoning tasks.
Nov 7, 2020
A short summary of Imagenet-1k, ImageNetv2-MatchedFrequency, ImageNet-Sketch, ImageNet-A, ImageNet-O, ImageNet-C, ImageNet-P, ImageNet-"Real Labels", ImageNet-R
Aug 31, 2020
Kaiming initialization is discussed in detail. Initialization function for ReLU is derived in detail.
Jul 10, 2020
Setup Ghost from source on local machine and use default Casper theme. Host the blog on Github for free.
May 13, 2020
Resnet50 model is tested by using Mish in its FClayers. Also, a detailed discussion of the paper is done with code implementation.
Nov 11, 2019
Four papers by Leslie N. Smith, introducing cyclic learning and Superconvergence are reproduced in this post using pytorch+fastai.
Jun 26, 2019
Complete list of resources that will provide you with the all the theoretical background of the latest NLP research and techniques.
May 15, 2019
A quick summary of probabilistic math used in machine learning.
May 6, 2019
New state of the art method for generating colored images from segmentation masks. It uses a GAN to learn to produce photorealistic images.
Apr 17, 2019
Weight Standardization to accelerate deep network training. WS is targeted at the micro-batch training setting where each GPU has 1-2 batches of data.
Apr 11, 2019
Overfitting small batch, manually checking loss. Creating data pipelines. I give a complete and detailed introduction on how to create AlexNet model in PyTorch with code.
Feb 18, 2019
A quick summary of probabilistic math used in machine learning.
Sep 14, 2018