Showing 241-260 of 324 projects
An open-source AI-powered computer vision model for object detection, segmentation, and understanding.
A real-time visualizer for React lifecycle methods that helps developers understand component behavior.
A process/message visualizer for BEAM nodes that helps Elixir and Erlang developers understand their system internals.
Small-scale machine learning projects to help developers understand core ML concepts in Python.
A Python toolbox to investigate neural networks' predictions and understand model behavior.
An in-depth book and resource for understanding BFE, a CNCF open-source project.
A collection of resources for understanding the underlying implementation of popular frontend technologies.
This book provides a comprehensive guide to understanding and exploiting the internals of the glibc heap for security researchers.
VideoLLaMA 2 is a Python library that advances spatial-temporal modeling and audio understanding in video-based large language models.
A curated list of resources on large language model-based text-to-SQL for developer productivity and database access.
A visual tool for inspecting and understanding your ESLint flat configs.
A deep neural text understanding framework for ranking and classification tasks in NLP.
C programming tutorial and blog for beginners to improve their C coding skills and understanding
A sampling JVM profiler without the safepoint sample bias, focused on helping developers understand their application's performance.
This repository provides hands-on examples and guidance for building, training, deploying and maintaining deep learning models in production.
This repository provides a simple and straightforward guide to understanding and implementing email security protocols like SPF, DKIM, and DMARC.
A 2D visualization tool for the npm ecosystem, allowing developers to explore and understand package dependencies.
A simple and easy-to-understand implementation of the Raft distributed consensus algorithm in Java.
A Go dependency graph visualization tool for understanding Go project dependencies.
A tutorial to build a RAG (Retrieval Augmented Generation) system from scratch using local LLMs and no black boxes.
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