![Building and Deploying a GAN Streamlit Web App on Heroku [Part 1]](https://i3.wp.com/miro.medium.com/v2/resize:fit:875/0*kCp27RZLiC9Amiv8.png?w=875&resize=875,368&ssl=1 "Building and Deploying a GAN Streamlit Web App on Heroku [Part 1]")
Building and Deploying a GAN Streamlit Web App on Heroku [Part 1]
Author(s): Youssef Hosni Originally published on Towards AI. Table of Content: Generative Adversarial Networks (GANs) are a type of deep learning architecture that has become increasingly popular for generating new and realistic data, such as images, videos, and audio. Building a GAN …
scikit-learn Cheat Sheet: Functions for Machine Learning
Author(s): Gencay I. Originally published on Towards AI. Mastering Machine Learning with Python and scikit-learn: A Comprehensive Guide for Data Scientists and AI Enthusiasts Image by Author It is no secret that data science and machine learning have become essential components of …
How to Save and Load Deep Learning Models with Keras?
Author(s): Tirendaz AI Originally published on Towards AI. Learn how to use ModelCheckpoint callback Image by Freepik Training deep learning models is a time-consuming process. You can save model progress during and after training. So, you can resume the training of a …
Python Pandas vs. Dask DataFrames: A Comparative Analysis
Author(s): Ulrik Thyge Pedersen Originally published on Towards AI. A Comparison of Python’s Popular Data Manipulation Libraries Photo by Peter Burdon on Unsplash DataFrames are a popular data structure used for data manipulation and analysis in Python. Pandas and Dask are two …
Diagnosing the Stubborn Mediocrity of the Western Bulldogs
Author(s): Ranganath Venkataraman Originally published on Towards AI. Using data to get insight into why my supported Australian Football League team perennially languishes and the corresponding lessons learned Photo by Tingey Injury Law Firm on Unsplash Note — this article reflects my …
Meet MiniGPT-4: The Surprising Open Source Vision-Language Model that Matches the Performance of GPT-4
Author(s): Jesus Rodriguez Originally published on Towards AI. The model expands Vicuna with vision capabilities similar to BLIP-2 in one of the most interesting open source releases in the multi-modality space. Top highlight Created Using Midjourney I recently started an AI-focused educational …
Want to Stand Out in Data Science? Don’t Make These Portfolio Mistakes!
Author(s): Youssef Hosni Originally published on Towards AI. Is Your Data Science Portfolio Sinking Your Career? Don’t Make These 10 Mistakes Data science is a rapidly growing field, and as more and more people enter the industry, it’s becoming increasingly important to …
PyTorch Lightning: An Introduction to the Lightning-Fast Deep Learning Framework
Author(s): Anay Dongre Originally published on Towards AI. PyTorch Lightning is a popular open-source framework built on top of PyTorch that aims to simplify and streamline the process of developing deep learning models. It provides a lightweight and flexible interface for building …
Mastering Linear Regression: A Step-by-Step Guide
Author(s): Anushka sonawane Originally published on Towards AI. From Basics to Advanced: A Comprehensive Guide to Linear Regression Understanding Linear Regression [Image by author] Have you ever wondered how we could use machine learning to predict future outcomes based on past data? …
Active Learning with Autogluon
Author(s): Ulyana Tkachenko Originally published on Towards AI. Train accurate models with minimal data labeling via Active Learning and AutoML Training supervised machine learning models with large amounts of data can be expensive, time-consuming, and oftentimes unnecessary effort. Comparable results can be …
From Detection to Correction: How to Keep Your Production Data Clean and Reliable
Author(s): Youssef Hosni Originally published on Towards AI. Table of Contents: In Production ML, data quality is everything. No matter how great your models or algorithms are, if the data you feed them is garbage, you’ll get garbage results. But how can …
1 Line of Code to Make Your Pandas 80% More Efficient: Modin Pandas
Author(s): Ulrik Thyge Pedersen Originally published on Towards AI. Remove your Data Transformation Bottlenecks with Parallelization Image by Author with @MidJourney Introduction Python’s Pandas library is one of the most popular tools for data manipulation and analysis. However, Pandas can struggle with …
Exponential Smoothing for Balancing Multilingual Model Training Data
Author(s): Deepanjan Kundu Originally published on Towards AI. What is a multilingual model? Machine learning models that cover more than one language are called multilingual models. Since languages differ significantly from each other in script, vocabulary, grammar, and writing styles, in the …
Maximizing LangChain Efficiency: Agents and ReAct Method Review.
Author(s): iva vrtaric Originally published on Towards AI. Image by Lexica AI Human intelligence is unique in its ability to combine task-oriented actions with verbal reasoning. This allows us to learn new tasks quickly and perform robust decision-making, even in unfamiliar situations. …
Inside Generative Agents: Google and Stanford University’s Generative AI Method that Created Agents that Simulated Human Behavior
Author(s): Jesus Rodriguez Originally published on Towards AI. One of the most fascinating papers of the year uses generative AI to provide some insights into the emergence of human behavior. Image Credit: Google-Stanford University I recently started an AI-focused educational newsletter, that …
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