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Last updated: Feb 7, 2022

PyTorch

This is a well-known library for machine learning and deep learning applications. Its packages and methods can also be applied to NLP and computer vision models. Supported by Facebook's research lab.
Introduction to PyTorch
In this blog, we will learn a new deep learning framework called PyTorch and its implementation using Python. Let's begin.
PyTorch Tensors
In this blog, we’ll learn and implement how to deal with the tensors using the PyTorch library.
torch.nn Module in PyTorch EASY
This article will take you through the torch.nn module in PyTorch, its uses, and the implementation of various functions and methods present in it.
Transfer Learning using PyTorch MEDIUM
In this blog, we will discuss scenarios in transfer learning and understand transfer learning using Pytorch with the help of an example.
LSTMs and Bi-LSTM in PyTorch MEDIUM
In this article, we will discuss the LSTM and Bi-LSTM along with its implementation. Then we will also discuss the difference between them.
Regression With PyTorch EASY
In this article, we will learn about linear regression and implement it with the help of PyTorch.
PyTorch API for Distributed Training HARD
In this article, you will learn about PyTorch API for Distributed Training, how PyTorch API is helpful, and distributed training example.
Generating Adversarial Examples using PyTorch MEDIUM
This article will take you through all the models and essential facts related to Adversarial Examples of PyTorch.
Dog vs Cat Classifier using Pytorch MEDIUM
In this article, we will discuss the dog vs cat classifier along with its implementation, where the training and validation of data will be done.
How to Migrate from PyTorch to PyTorch Lightning HARD
In this blog, we will discuss How to migrate from PyTorch to PyTorch Lightning, including the pros and cons of Pytorch Lightning.
Exporting models for serving using TorchServe EASY
TorchServe is a PyTorch open-source model serving library. We will examine what are the phases that are needed to export a model for serving using TorchServe.
ML Compilers in PyTorch
This article will teach us about ML Compilers in PyTorch. We will learn about PyTorch, compilers and their various kinds in PyTorch.
Recurrent Neural Networks with PyTorch HARD
This article discusses the basic workings of a recurrent neural network and some of its drawbacks.
Introduction to TorchScript EASY
This article titled introduction to TorchScript contains all the required information and implementation about TorchScript.
Converting PyTorch to TorchScript MEDIUM
In this blog, we will be discussing PyTorch and TorchScript in detail followed by how to convert PyTorch to TorchScript format.
How to Split a Torch Dataset MEDIUM
In this article, we will discuss Split Dataset, its splitting techniques and its handling mechanism.
Resnet in PyTorch MEDIUM
This article will teach about Resnet in PyTorch. We will also discuss the residual block, implementation, and comparison between Resnet and other CNN architectures.
Transformers in PyTorch HARD
In this blog, we will be discussing transformers in PyTorch in detail along with its implementation using the Hugging Face library.
Quantization in Pytorch EASY
In this article, we will discuss quantization, need of quantization and its various PyTorch quantization Methods.
Pruning in PyTorch MEDIUM
This article will teach us about Pruning in PyTorch, neural networks, the need for Pruning, its types and benefits.
Model Optimization in PyTorch MEDIUM
This article discusses the process of optimizing a deep learning model in PyTorch in detail.
Implement Deep Autoencoder in PyTorch MEDIUM
In this blog, we will discuss deep Autoencoder in PyTorch and implement the autoencoder in PyTorch.
Torchaudio in PyTorch MEDIUM
This article will teach us about TorchAudio in PyTorch, exploring how we can visualize data along with its various applications and examples.