Introducing Rety, a tool for creating replayable live coding demos to enhance teaching and conference talks without the stress of live typing.
Argues that traditional B2B app development is flawed for multi-party interactions and calls for a new platform.
Explains methods for estimating NPM package market share, using Redux and state management libraries as examples with various data sources.
A monthly update on TinyPilot, a tech hardware/software project, covering revenue, software licensing, and development progress.
Challenges the common practice of using powers of 2 for neural network batch sizes, examining the theory and practical benchmarks.
Learn how to deploy a deep learning research demo on the cloud using the Lightning framework, including GPU training and model sharing.
Announcing Color.js, a JavaScript library for advanced color manipulation, supporting CSS Color 4/5 and various color spaces.
An overview of the Redux Toolkit (RTK) presentation, explaining its creation and features for modern Redux development.
Learn to build a Super Resolution GAN demo using the Lightning framework in this first part of a deep learning tutorial series.
A hands-on exploration of PyTorch's new DataPipes for efficient data loading, comparing them to traditional Datasets and DataLoaders.
A monthly update on TinyPilot, covering a website redesign, learning Debian packages, abandoning Vue.js, and sharing traffic and revenue stats.
A hands-on review of PyTorch's new M1 GPU support, including installation steps and performance benchmarks for deep learning tasks.
A monthly update on TinyPilot, a tech hardware business, covering revenue, profit challenges, and development goals.
A Reactathon talk exploring Redux async logic tools like thunks, sagas, and RTK Query, with current recommendations for side effect management.
A talk sharing lessons learned from maintaining TypeScript libraries, covering type publishing, API versioning, and debugging.
Developer argues against using UI frameworks like Bootstrap, advocating for custom CSS and strategies to build professional apps.
A guide to creating confidence intervals for evaluating machine learning models, covering multiple methods to quantify performance uncertainty.
A developer's monthly update on TinyPilot, covering revenue growth, product updates, and business challenges in the tech hardware space.
A guide to correctly implementing cross-entropy loss in PyTorch for binary and multiclass classification, explaining common pitfalls and best practices.
Explains the difference between .update() and .forward() in TorchMetrics, a PyTorch library for tracking model performance during training.
