Optimizing deep learning models for faster inference and deploying on heterogenous Intel architectures — Table of Contents · Introduction · What is OpenVINO Toolkit? · How does OpenVINO Toolkit work? ∘ The Intel® Distribution of OpenVINO™ toolkit contents ∘ The basic workflow of Intel® Distribution of OpenVINO™ toolkit · Installation · Example ∘ Step 1— Download the model ∘ Step 2— Import the libraries ∘ Step 3—Convert…

Speed up your data processing and Machine Learning pipeline with Intel optimized oneAPI AI Analytics Toolkit — Table of Contents · What is oneAPI? · oneAPI AI Analytics Toolkit ∘ 1. Intel optimized Modin ∘ 2. Intel optimized Scikit-learn ∘ 3. Intel optimized XGBoost ∘ 4. Intel optimized TensorFlow & Pytorch ∘ 5. Intel optimized Python ∘ 6. Model Zoo for Intel Architecture ∘ 7. Intel Neural Compressor ·…

You may need to estimate the execution time of your code snippet. For example, if you have five ways to make a copy of a list object in Python, you need to choose a faster way. What do you do? One way is to use the DateTime module to capture…

Generating cryptographically strong passwords and tokens — Introduction Do you know Python has a built-in module called secrets that can be used to generate cryptographically strong passwords, tokens, and other related secrets? The secrets module was first introduced in Python 3.6 (PEP 506). Before the introduction of the secrets module into Python, the random module was used by…

Introduction The lists and tuples need no introduction even for beginners. These two are the commonly used data structures in Python. But what are the similarities and the difference between them, which one should you prefer and when? That’s exactly what we are going to cover in this article. …

Shallow copy and deep copy in Python are explained in detail — Introduction When writing a program, we often want to create a copy of an object (int, float, list, tuple, dictionary, etc.). Because we want to use the copy (new) object without changing the content of the original. There are a number of ways you can create a copy of the object…

Introduction I am sure you are already aware of the concatenation operators + and += in Python. As the name itself says, concatenation operators are used to concatenating multiple sequence types (For example, concatenate two lists). Similarly, * and *= are used when you want to repeat a sequence type n…

Understanding what function and variable annotations are in Python — Introduction The programming languages such as C, C++, Java, etc. are statically typed languages meaning the data type of the variable must be declared before you can actually use it in your program. …

A beautiful web app for interpreting your machine learning predictions — Shapash lets you create a beautiful web app for interpreting your machine learning models in seconds as soon as you have the model ready. You don’t have to spend time creating web applications of your own. This saves a lot of time for you and your team. Isn’t this exciting…