deep-learning


From Prototype to Production: Leveraging MONAI for Clinical AI

MONAI is a PyTorch-based, open-source framework designed specifically for AI in healthcare imaging. For a software engineer

Debugging Power and Performance: Why PyTorch is the Modern ML Framework for Developers

As a software engineer, PyTorch is an incredibly valuable tool, particularly if you're building systems that involve Machine Learning (ML) or Deep Learning (DL). It offers a unique blend of flexibility

Code Clean and Speed Fast: Understanding LLM Serving with Nano vLLM

Nano vLLM is a lightweight, clean-code implementation of the core ideas behind vLLM, a high-throughput LLM serving engine

Beyond Algorithms: System-Level Thinking for ML Engineers with CS249r

This resource is an open-source textbook and course material focusing on the engineering and systems aspects of building and deploying real-world AI/ML applications

HRM: A Software Engineer's Guide to Hierarchical Reasoning Model Deployment

The HRM is a novel recurrent neural network architecture designed for sequential reasoning tasks. It's inspired by the hierarchical and multi-timescale processing observed in the human brain

Boost Productivity: Advanced Prompting Techniques for Software Engineers

This guide is essentially your go-to reference for mastering the art of "programming" large language models (LLMs) using natural language

Leveraging PyTorch and Diffusers: State-of-the-Art Generative AI for Engineers

Here's a friendly breakdown of how it can be useful, how to get started, and a little sample code to get your hands dirty

From Prototype to Product: Integrating Stable Diffusion with the Web UI's API

The Stable Diffusion web UI, often referred to as AUTOMATIC1111/stable-diffusion-webui or just SD web UI, is a widely popular

Real-Time Voice Cloning for Software Engineers: A Deep Dive

Let's dive into CorentinJ/Real-Time-Voice-Cloning from a software engineer's perspective. This is a fascinating project

Label Studio: The Essential Tool for ML Data Preparation

Hey there, fellow software engineers! Let's talk about Label Studio, an incredibly versatile and powerful open-source tool that's going to make your data labeling and annotation tasks a whole lot smoother

Unleashing Deep Learning with Rust's Burn Framework

Let's dive into tracel-ai/burn from a software engineer's perspective. This looks like a really interesting project, and I'll explain how it can be useful

Software Engineer's Guide to mrdbourke/pytorch-deep-learning: Unleashing Deep Learning with PyTorch

The mrdbourke/pytorch-deep-learning repository is the official material for the "Learn PyTorch for Deep Learning Zero to Mastery" course by Daniel Bourke

Mastering High-Performance GPU Computing: An Engineer's Guide to NVIDIA CUTLASS

CUTLASS (CUDA Templates for Linear Algebra Subroutines) is a high-performance open-source library developed by NVIDIA. At its core