borgwang/toys
Toy models, experiments and random notes on machine learning and deep learning. (⭐ 129)
Schoolhouse Rock – Interjections! Lyrics - Genius
Find answers to frequently asked questions about the song and explore its deeper meaning. Who produced “Interjections!” by Schoolhouse Rock?
jsmini/clone
A professional deep clone library (⭐ 244)
myclabs/DeepCopy
Create deep copies (clones) of your objects (⭐ 8889)
pvorb/clone
deeply clone arbitrary objects in javascript (⭐ 790)
Task and Explanation Network
Explainability in deep networks has gained increased importance in recent years. We argue herein that an AI must be tasked not just with a task but also with an explanation of why said task was accomplished as such. We present a basic framework -- Ta...
SailWP update: demo video, architecture deep-dive, and what's next
A few days ago I shared SailWP here - a free GPL WordPress theme that builds in what most beginners need plugins for: SEO, analytics, 2FA, multilanguage, AI page builder. For context, here are the pr...
State Chrono Representation for Enhancing Generalization in Reinforcement Learni…
In reinforcement learning with image-based inputs, it is crucial to establish a robust and generalizable state representation. Recent advancements in metric learning, such as deep bisimulation metric approaches, have shown promising results in learni...
CAMA: Enhancing Mathematical Reasoning in Large Language Models with Causal Know…
Large Language Models (LLMs) have demonstrated strong performance across a wide range of tasks, yet they still struggle with complex mathematical reasoning, a challenge fundamentally rooted in deep structural dependencies. To address this challenge,...
Fast QTMT Partition for VVC Intra Coding Using U-Net Framework
Versatile Video Coding (VVC) has significantly increased encoding efficiency at the expense of numerous complex coding tools, particularly the flexible Quad-Tree plus Multi-type Tree (QTMT) block partition. This paper proposes a deep learning-based a...
Russo-Ukrainian War timelapse (1 second is ~1 month)
Thanks to [DeepState Map](https://deepstatemap.live)...
I Analyzed 1,000+ YouTube Videos in 24 Hours Using Perplexity and Gemini - Here'…
We all have a YouTube "Watch Later" list that's a graveyard of good intentions. That 2-hour lecture, that 30-minute tutorial, that brilliant deep-dive podcast—all packed with knowledge you want, but...
0-20+ faceless AI automated YouTube channels in 1 year - my process and tools
First of all before diving deep into this process (scroll a bit below) I have to say something that everyone keeps asking me, is it profitable? Yes. It's by far my most profitable venture outside of ...
CRIPAC-DIG/GRACE
[GRL+ @ ICML 2020] PyTorch implementation for "Deep Graph Contrastive Representation Learning" (https://arxiv.org/abs/2006.04131v2) (⭐ 346)
The Utility of Feature Reuse: Transfer Learning in Data-Starved Regimes
The use of transfer learning with deep neural networks has increasingly become widespread for deploying well-tested computer vision systems to newer domains, especially those with limited datasets. We describe a transfer learning use case for a domai...
BOOM Definition & Meaning | Dictionary.com
What does boom mean? A boom is a deep, loud, resonant sound that echoes or travels rapidly, like the sound of thunder.To boom is to create such a sound, as in The thunder boomed overhead, which …
BOOM Definition & Meaning - Merriam-Webster
The meaning of BOOM is to make a deep hollow sound. How to use boom in a sentence.
LOW | definition in the Cambridge Learner’s Dictionary
LOW meaning: 1. near the ground, not high: 2. below the usual level: 3. deep or quiet: . Learn more.
Real-time prediction of workplane illuminance distribution for daylight-linked c…
Daylight-linked controls (DLCs) have significant potential for energy savings in buildings, especially when abundant daylight is available and indoor workplane illuminance can be accurately predicted in real time. Most existing studies on indoor dayl...
Strava Guide: How to Get Started on Strava
May 15, 2024 · Now we’ve finished the warm up, our initial primer on getting started with Strava, we’re ready to level up our Stava fitness and dive a bit deeper into some core features.