Digit recognition with Convolutional Neural Networks in WebGL
Unity WebGL Player | BalliBallon2D
modular and versioned GLSL
a WebGL demo of glsl-lut, for efficient color transforms on the GPU. source code here Contents # Intro glslify Installing Dependencies Compiling The Shader Relative Requires Example Modules The Awesomeness of NPM Unit Testing Extras As a Source...
Supercharge your Computer Vision models with the TensorFlow Object Detection API
Posted by Jonathan Huang, Research Scientist and Vivek Rathod, Software Engineer (Cross-posted on the Google Open Source Blog) At Google, we develo...
Deep learning with convolutional neural networks for EEG decoding and visualization
Deep learning with convolutional neural networks (deep ConvNets) has revolutionized computer vision through end-to-end learning, that is, learning from the raw data. There is increasing interest in u...
WebGPU is now supported in major browsers | Blog | web.dev
Read about the biggest web graphics launch since WebGL. WebGPU is supported across major browsers, bringing unparalleled performance to the web.
Brandon on Twitter / X
I think we might need a new TensorFlow.js for the modern WebGPU era. The best starting point for this library is, ironically, TensorFlow.js with WebGPU backend. But, like three.js, there are indications that not designing them from the ground up around WebGPU can lead to…— Brandon (@brandon_xyzw) December 6, 2025
stack.gl
Before getting started with stackgl, you'll want to get familiar with the basics of WebGL and GLSL. One place to start would be by trying out one of our graphics-themed NodeSchool workshops. Shader School and WebGL Workshop are interactive and may be taken in any order.
jafioti/luminal | DeepWiki
This document provides a high-level introduction to the luminal deep learning framework, covering its core architecture, design principles, and key components. This overview explains how luminal's gra
REKI: Registering Knowledge in VLAs
REKI, a 2.4B vision-language-action model pretrained on public data only, with a memory of its recent past at negligible cost.
Surfel-based global illumination on the web
Can we use WebGPU to compute real-time global illumination with surface patches called surfels? Does it look good enough? Is it fast enough? And can we finally construct viable compute-heavy rendering pipelines right here on the open web? Join me on this journey and let's find out!
Tesla hires deep learning expert Andrej Karpathy to lead Autopilot vision | TechCrunch
Tesla has hired deep learning and computer vision expert Andrej Karpathy in a key Autopilot role. Karpathy most recently held a role as a researcher at OpenAI, the artificial intelligence nonprofit backed by Elon Musk. He has an extensive background in AI-related fields, having completed a PhD at Stanford University in computer vision.
Stanford CS231N Deep Learning for Computer Vision | Spring 2025 | Lecture 1: Introduction
LFM2 WebGPU – In-browser tool calling - a Hugging Face Space by LiquidAI
In-browser tool calling, powered by Transformers.js
Modern GPU Programming For MLSys — Modern GPU Programming For MLSys
Machine learning systems sit at the heart of modern AI workloads. In these systems, performance often comes down to the quality of a small number of GPU kernels. Attention kernels, LLM prefill and decode kernels, low-precision block-scaled GEMMs, fused MoE layers, and other large fused kernels all directly shape end-to-end speed in both training and serving.
Modern GPU Programming For MLSys — Modern GPU Programming For MLSys
Machine learning systems sit at the heart of modern AI workloads. In these systems, performance often comes down to the quality of a small number of GPU kernels. Attention kernels, LLM prefill and decode kernels, low-precision block-scaled GEMMs, fused MoE layers, and other large fused kernels all directly shape end-to-end speed in both training and serving.