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FlaxAlbertModule for Natural Language Processing with TensorFlow Probability and JAX
FlaxAlbertLayerCollections are a collection of layers that can be used to build deep learning models for natural language processing tasks using TensorFlow Probability and…
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FlaxAlbertLayerCollection for Efficient BERT-like Language Modeling with JAX and Flax
First, let’s start with the basics. This is a library that helps you build neural networks using JAX (a popular framework for scientific computing)…
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Flax Modeling with FlaxBaseModelOutput and FlaxPreTrainedModel
First, let us import the necessary libraries: # Import necessary libraries import jax # Importing the jax library for array manipulation and automatic differentiation…
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Training Semantic Segmentation Models on Your Own Image Dataset
Here are the basic steps: 1. Collect a bunch of images that have been labeled with these categories/labels by humans. This can be done…
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Decoding Segmented RGB Images using Matplotlib
Well, first off, what the ***** is a “segmented” image anyway? Basically, it means that instead of having one big picture with all the…
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Python’s Built-in Data Structures: A Tutorial
Lists are basically just collections of stuff that you can do cool things with, kind of like how your mom collects all those weird…
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My Journey to Writing an Interpreter for Lisp in Itself
Well, it’s basically a program that reads code written in another language (like Python or JavaScript) and translates it into instructions that your computer…
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Ruff and Continuous Integration
It’s like having a personal stylist for your Python files! Here’s how it works: 1. You install Ruff using pip (the package manager for…
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Unleash the Power of Ruff: Key Benefits of Python Linting
Ruff is a powerful tool for improving your code quality by detecting issues that might otherwise go unnoticed during development or testing phases. It’s…
