Learn how to modify Django Admin to return Django Admin 401 responses on failed login attempts, enabling precise Fail2ban detection and stronger EC2 security.
Learn how to integrate Django and Fail2ban on an EC2 instance using Apache2 to automatically block repeated login attempts and secure your admin panel.
My enhanced release of wodsuz/EasyApplyJobsBot with overhauled application tracking and a novel dashboard suite to monitor your Linkedin job applications. Explore the integration of real-time Grafana dashboards with your job search, offering unparalleled insights into the market.
At the heart of our project lies the Restricted Boltzmann Machine, a type of neural network particularly adept at uncovering hidden patterns in data. In the culinary world, ingredients form complex relationships, creating a web of flavors and textures. Our goal is to untangle this web and discover how ingredients
Introduction In the realm of machine learning, managing large datasets efficiently is often a critical task. PyTorch, known for its flexibility and ease of use, offers robust tools for this purpose. This article aims to guide you through constructing a data pipeline that not only manages memory efficiently by streaming
The dataset is a rich compilation of recipes, spanning a wide range of cuisines and styles. It offers a unique perspective on what makes a recipe more than just a list of ingredients and steps. With over 500k recipes, it’s a deep dive into the culinary world, providing data enthusiasts,
The famous QR factorization algorithm can be BLAS-3 optimized. Using the Woodbury matrix identity, we implement a block-based Rank-Revealing QR and point out a connection between pivot selection and object detection.
You want to identify the breaker switch for a particular outlet. This problem inspired me to write an article on Medium one day as I was thinking about the electric wiring at home. As you’ll see, there are commonalities between decidely challenging tasks in Machine Learning and the problems you
Many strategies in Machine Learning involve the iterative search of a solution space Ω. We begin with an initial solution ω₀ and update ωₙ to minimize an objective function f(x)