Awesome List Updates on Oct 26, 2024

11 awesome lists updated today.

1. Web Development Resources

Building machines that learn and think with people - Nature Human Behavior, 2024. [All Versions]. [Preprint]. This perspective shows how the science of collaborative cognition can be put to work to engineer systems that really can be called ‘thought partners’, systems built to meet humans' expectations and complement humans' limitations. The authors lay out several modes of collaborative thought in which humans and artificial intelligence thought partners can engage, and they propose desiderata for human-compatible thought partnerships. Drawing on motifs from computational cognitive science, this work motivates an alternative scaling path for the design of thought partners and ecosystems around their use through a Bayesian lens, whereby the constructed partners actively build and reason over models of the human and world.

go-qrcode (⭐612) - Generate QR codes with personalized styles, allowing adjustments to color, block size, shape, and icons.

Alibaba Cloud [FREE] - Enjoy free cloud servers, training courses, certifications, and exclusive campaigns and opportunities by verifying your student status. The offer is renewable as long as you are a student.

Neptune [FREE] - Neptune is an experiment tracker for ML teams that struggle with debugging and reproducing experiments, sharing results, and messy model handovers free to use for Academic and research.

Comet [FREE] - Comet provides an end-to-end model evaluation platform for AI developers, with best-in-class LLM evaluations, experiment tracking, and production monitoring.

voicecapture-angular (⭐3) - The library offers customizable options for handling voice input and transcription, making it a flexible solution for enhancing user interfaces.

tmux-workspace-usage (⭐2) Displays the memory and CPU usage of your workspace processes.

Gregory Valiant. The Modern Algorithmic Toolbox. Stanford - It covers hashing, dimension reduction, linear and convex programming, gradient descent and regression, sampling and estimation, compressive sensing, linear-algebraic techniques (principal components analysis, singular value decomposition, spectral techniques), and an intro to differential privacy.