tfjs
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tfjs | owid-grapher | |
---|---|---|
27 | 196 | |
18,041 | 1,307 | |
0.6% | 1.7% | |
8.8 | 10.0 | |
6 days ago | 2 days ago | |
TypeScript | TypeScript | |
Apache License 2.0 | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
tfjs
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Machine Learning in NodeJS || Part 1: TensorflowJS Basics
TensorflowJS GitHub Repository
- PyTorch Primitives in WebGPU for the Browser
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I want to talk about WebGPU
Also, Tensorflow.js WebGPU backend has been in the works for quite some time: https://github.com/tensorflow/tfjs/tree/master/tfjs-backend-...
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WebGPU Fundamentals
It's a pity that tfjs never truly developed any decent ops. E.g. you need lgamma to implement the cap for zero-inflated poisson regression and tfjs simply doesn't have that: https://github.com/tensorflow/tfjs/issues/2011
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Chrome Ships WebGPU
People have been doing it for long with WebGL, see eg https://github.com/tensorflow/tfjs and https://cloudblogs.microsoft.com/opensource/2021/09/02/onnx-...
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How to get rotation (yaw/pitch/roll) from face detection keypoints?
thanks, no not unity, going to show it as a demo with threejs + tensorflow on the web. I found a github request to add face orientation https://github.com/tensorflow/tfjs/issues/3835 looks like they assigned someone to add it but doesn't look like its available yet, but there's some posts about the math I can use to get rotations based on some of the landmarks
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[P] Supporting neural network inference in web browsers
There already exist a wide variety of neural network inference engines that run in web browsers (e.g. TensorFlow.js and, my personal favorite for use with PyTorch models, ONNX Runtime Web), but pre- and post-processing has always required imperative manipulations on flat buffers rather than a clean ndarray interface.
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Tensorflow JS model crashing on mobile
Full docs and code: https://github.com/tensorflow/tfjs/tree/master/e2e/benchmarks/local-benchmark
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I built a react native app to recognize if a food is a hot dog or a "not hot dog", inspired by Mr. Jian-Yang (not Mr. Jian, and not Mr. Yang) from Silicon Valley
In this app I used this dataset and trained a custom image classification model using teachable machine. Then I used expo, tfjs, and tfjs-react-native to build the react native app that feeds the camera stream to the model and renders the inference results.
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Export as tfjs layers model
I haven't looked deeply in how the tfjs layers model is exported, but from Lobe we make a TensorFlow SavedModel and use that as the basis for conversion for the other formats (I believe we use the official tfjs converter for this: https://github.com/tensorflow/tfjs/tree/master/tfjs-converter).
owid-grapher
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Observable 2.0, a static site generator for data apps
I think the idea of Framework is really good, but static data limits the applications, excluding monitoring and other cases in which the data is constantly changing, but the dashboard can stay as it is. For example, I'd love to see a revamped Framework version of the LHC beam monitor and related pages (see https://op-webtools.web.cern.ch/vistar/, but check again in 2 months or so, when the accelerator will be running).
In high-energy physics, ROOT is /the/ toolkit for data analysis, and I guess jsROOT (https://root.cern.ch/js/) could also be used to load data to be shown in Framework dashboards. I thought the idea of Framework as a blogging engine with powerful data visualization built-in could be very interesting. Think, for example, about physicists pulling open data (https://opendata.cern.ch) and writing about their analysis or someone pulling data from https://ourworldindata.org/ in their own visualizations to support their case while writing about a particular subject, etc.
- The Techno-Optimist Manifesto
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How do I do charts like these?
This site (Our World in Data) uses the Our World in Data Grapher to publish their graphs and choropleth maps. It's open source.
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[OC] G20 Countries most Reliant on Coal for Electricity Production
Our world in data has really nice graphics on all kinds of topics you can imagine: https://ourworldindata.org/
- L'energia nucleare in Italia
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vavle should just hire cryoByte33 at this point
Maybe I am putting too much energy into a comment you didn't really think about much, but "humans don't tend to be helpful" is really not accurate. If you disagree, please read some stats about the state of the world and try to draw conclusions from those. News is incentivized to paint a (misleadingly) grim picture.
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Study: Soaring Excess Deaths Linked to High Vaccination Rates
Anyway since you say 200 countries sing the same tune, I guess we can then take the data from https://ourworldindata.org/ for all 220 countries that have data on for example total deaths per million and total vaccine doses per million and we should clearly see a negative correlation between deaths and vaccinations across countries, scaling for population. Yes?
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Global warming above 2°C: How concerned should we be?
I had a more elaborate answer, but my Firefox crashed, so here's the short version: I don't think anybody can predict what the exact chance of humanity collapsing is. We don't really have anything to base this on. However, recent years have made me more optimistic again, as we have seen important trends in the right direction. For example, coal usage has peaked some years ago, renewables are not almost always cheaper than fossil fuels. Climate change is taking more and more seriously in politics. Is that enough? I don't know, but at least we finally started moving in the right direction. If you are not aware of it, I recommend "Our World in Data": https://ourworldindata.org/ They have nicely summarized much of this.
What are some alternatives?
face-api.js - JavaScript API for face detection and face recognition in the browser and nodejs with tensorflow.js
webhl - WebHL is a fork of hlviewer.js that uses the File System Access API to load game assets direct from your computer rather than from a server.
lightweight-human-pose-estimation.pytorch - Fast and accurate human pose estimation in PyTorch. Contains implementation of "Real-time 2D Multi-Person Pose Estimation on CPU: Lightweight OpenPose" paper.
BlazePose-tensorflow - A third-party Tensorflow Implementation for paper "BlazePose: On-device Real-time Body Pose tracking".
openpose - OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation
firecracker - Secure and fast microVMs for serverless computing.
seaborn - Statistical data visualization in Python
AlphaPose - Real-Time and Accurate Full-Body Multi-Person Pose Estimation&Tracking System
nexe - 🎉 create a single executable out of your node.js apps
plotly - The interactive graphing library for Python :sparkles: This project now includes Plotly Express!
hyperformula - HyperFormula is an open-source headless spreadsheet for business web apps. It comes with over 400 formulas, CRUD operations, undo-redo, clipboard support, and sorting. Built in TypeScript, supported by the Handsontable Team.
prettymaps - A small set of Python functions to draw pretty maps from OpenStreetMap data. Based on osmnx, matplotlib and shapely libraries.