RememberboxA text-first reading library | Saved | 751 |
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2026-07-12
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| developer.crazygames.com | |
| GitHub - RenderBear/hci Contribute to RenderBear/hci development by creating an account on GitHub. | |
| GitHub - awslabs/llrt: LLRT (Low Latency Runtime) is an experimental, lightweight JavaScript runtime designed to address the growing demand for fast and efficient Serverless applications. LLRT (Low Latency Runtime) is an experimental, lightweight JavaScript runtime designed to address the growing demand for fast and efficient Serverless applications. - awslabs/llrt | |
| antjs.org | |
| The best CLI is one you never run What the Astryx CLI is, why it is docs-first, and a tour of every command. |
2026-07-10
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| SelRoute: Query-Type-Aware Routing for Long-Term Conversational Memory Retrieval Retrieving relevant past interactions from long-term conversational memory typically relies on large dense retrieval models (110M–1.5B parameters) or LLM-augmented indexing. We introduce SelRoute, a framework that routes each query to a specialized retrieval pipeline — lexical, semantic, hybrid, or vocabulary-enriched — based on its query type. On LongMemEval_M (Wu et al., 2024), SelRoute achieves Recall@5 of 0.800 with bge-base-en-v1.5 (109M parameters) and 0.786 with bge-small-en-v1.5 (33M par | |
| GitHub - stas00/ml-engineering: Machine Learning Engineering Open Book Machine Learning Engineering Open Book. Contribute to stas00/ml-engineering development by creating an account on GitHub. | |
| Introducing Plan A ... | |
| GitHub - jxnl/personal-monorepo-template Contribute to jxnl/personal-monorepo-template development by creating an account on GitHub. | |
| GitHub - Emanuele-web04/Peekaboo: A tiny native macOS to-do list that reveals from your chosen screen corner. A tiny native macOS to-do list that reveals from your chosen screen corner. - Emanuele-web04/Peekaboo | |
| Neural Cellular Automata: From Cells to Pixels Explore interactive demos of a self-organizing pattern formation model that combines Neural Cellular Automata with Neural Fields. | |
| AI 2040: Plan A A detailed forecast and recommendation for how the US, China and the rest of the world should navigate superintelligence. | |
| A model built for deterministic tasks - Interfaze A new model architecture for deterministic tasks achieving the highest accuracy, precision and consistency for tasks like OCR, Audio understanding, Structured Data Extraction and more |
2026-07-09
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| Fish Audio S2.1 Pro: Free Text-to-Speech API for Developers > - S2.1 Pro, Fish Audio's most advanced voice model, is now available as a free text-to-speech API | |
| GitHub - vercel-labs/native: Toolkit for building native desktop apps Toolkit for building native desktop apps. Contribute to vercel-labs/native development by creating an account on GitHub. | |
| hyperframes.heygen.com | |
| GitHub - gannonh/kata-symphony: Agent orchestration for GitHub or Linear Agent orchestration for GitHub or Linear. Contribute to gannonh/kata-symphony development by creating an account on GitHub. | |
| Tree of Thoughts: Deliberate Problem Solving with Large Language Models Language models are increasingly being deployed for general problem solving across a wide range of tasks, but are still confined to token-level, left-to-right decision-making processes during inference. This means they can fall short in tasks that require exploration, strategic lookahead, or where initial decisions play a pivotal role. To surmount these challenges, we introduce a new framework for language model inference, Tree of Thoughts (ToT), which generalizes over the popular Chain of Thoug | |
| Welcome to the Ultimate Robotics Handbook | Robotics Handbook Comprehensive robotics guide covering hardware, ROS 2, SLAM, robot learning, and AI - from fundamentals to production systems. | |
| A tiny library for building editable websites in Svelte Selection: |
2026-07-08
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| Vision Pretraining for Dense Spatial Perception Dense spatial perception is essential for physical intelligence, where visual systems are expected to recover structured, metric, and actionable representations from pixel observations. Modern visual foundation models tend to prioritize semantic invariance, often at the expense of detailed spatial understanding. In this work, we study vision pretraining through a boundary-centric lens, motivated by the premise that boundaries and shape discontinuities offer essential cues for perceiving geometri | |
| GitHub - jonathanwvd/awesome-industrial-datasets: A curated collection of public industrial datasets. A curated collection of public industrial datasets. - jonathanwvd/awesome-industrial-datasets | |
| CS231n Deep Learning for Computer Vision Course materials and notes for Stanford class CS231n: Deep Learning for Computer Vision. |
2026-07-07
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| Screen space ambient occlusion From Wikipedia, the free encyclopedia | |
| WrobotGames Game engine and 3d graphics enthusiast or something like that, I'm not sure.Be sure to follow me on mastodon and Twitter |