tfjs-models
examples
tfjs-models | examples | |
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50 | 143 | |
13,750 | 7,776 | |
1.0% | 1.0% | |
8.0 | 5.3 | |
13 days ago | 13 days ago | |
TypeScript | Jupyter Notebook | |
Apache License 2.0 | Apache License 2.0 |
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tfjs-models
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Running a TensorFlow object detector model and drawing boxes around objects at 60 FPS - all in React Native / JavaScript!
I am wondering, will this also work with tensoflow.js or only tflite? I'd like to use this hand pose estimation from mediapipe: https://github.com/tensorflow/tfjs-models/tree/master/hand-pose-detection
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ML tool to read PDF file and answer questions from its content
I got the basic concept working using TensorFlow QnA model but the answers don't seem very accurate. Infact, unless you specifically ask the exact question, you dont get the right answer. Its not intelligent enough because the entire PDF content becomes a bag of words instead of having context to those words. for eg. When someone types "languages", it should search within a section named Languages.
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React + Tensorflow.js , a cool recipe for AI powered applications
I think you are beginning to connect the dots by now ๐ What we will do is to build a small proof-of-concept (POC) by writing a simple react app and hook up a pre-trained tensorflow.js model, The text toxicity model to "moderate" the user's text input and show a notification of what's wrong with it, a text toxicity meter if you will...
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Chat moderation in Daily using TensorFlow.js
TensorFlow.js is a JavaScript library developers can use to run pre-trained machine-learning models in the browser. The library has a variety of models for tasks such as object identification and language processing. One of these models is the text toxicity detection model.
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Racial slurs list? I need some guidance!
TensorFlow has a toxicity classification model available. I don't find it to work that well, but it does something. Not sure if it works in other languages than English. Tried the demo with some offensive Dutch and it passed it.
- Does tensorflow offer a 3d meshing model for body parts?
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Seeking Advice on Resources for Creating an Image Analysis and Manipulation AI
No clue if it will work on drawn images. It depends on what the model was trained on. The models github is a good place to get started on figuring that out: https://github.com/tensorflow/tfjs-models/tree/body-pix-v2.0.4/body-pix
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[AskJS] Rate a string on how much sense it makes
You probably want to check out something like tensorflow https://github.com/tensorflow/tfjs-models where you can build and test your models.
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Chat moderation in Wix with TensorflowJS and Velo
I decided to start with the toxicity model OOTB demo code for simplicity. You can find this code in their Github repo.
- Buenas! Necesito ideas para tesis de la carrera de desarrollo de software
examples
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My Favorite DevTools to Build AI/ML Applications!
TensorFlow, developed by Google, and PyTorch, developed by Facebook, are two of the most popular frameworks for building and training complex machine learning models. TensorFlow is known for its flexibility and robust scalability, making it suitable for both research prototypes and production deployments. PyTorch is praised for its ease of use, simplicity, and dynamic computational graph that allows for more intuitive coding of complex AI models. Both frameworks support a wide range of AI models, from simple linear regression to complex deep neural networks.
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Open Source Ascendant: The Transformation of Software Development in 2024
AI's Open Embrace Artificial intelligence (AI) and machine learning (ML) are increasingly leveraging open-source frameworks like TensorFlow [https://www.tensorflow.org/] and PyTorch [https://pytorch.org/]. This democratization of AI tools is driving innovation and lowering entry barriers across industries.
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Best AI Tools for Students Learning Development and Engineering
Which label applies to a tool sometimes depends on what you do with it. For example, PyTorch or TensorFlow can be called a library, a toolkit, or a machine-learning framework.
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Releasing The Force Of Machine Learning: A Noviceโs Guide ๐
TensorFlow: An open-source machine learning framework for high-performance numerical computations, especially well-suited for deep learning.
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MLOps in practice: building and deploying a machine learning app
The tool used to build the model per se was TensorFlow, a very powerful and end-to-end open source platform for machine learning with a rich ecosystem of tools. And in order to to create the needed script using TensorFlow Jupyter Notebook was used, which is a web-based interactive computing platform.
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๐ฅ14 Excellent Open-source Projects for Developers๐
10. TensorFlow - Make Machine Learning Work for You ๐ค
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GPU Survival Toolkit for the AI age: The bare minimum every developer must know
AI models, particularly those built on deep learning frameworks like TensorFlow, exhibit a high degree of parallelism. Neural network training involves numerous matrix operations, and GPUs, with their expansive core count, excel in parallelizing these operations. TensorFlow, along with other popular deep learning frameworks, optimizes to leverage GPU power for accelerating model training and inference.
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๐ฅ๐ Top 10 Open-Source Must-Have Tools for Crafting Your Own Chatbot ๐ค๐ฌ
#2 TensorFlow
- Are there people out there who still like Sam atlman - AI IS AT DANGER
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Tensorflow help
I am on a new ftc team trying to get vision to work. I used the ftc machine learning tool chain but I have yet to get a good result with at best a 10% accuracy rate. I have changed everything possible in the tool chain with little luck. To fix this, I have tried making my own .tflite model using the google colab from https://www.tensorflow.org/. When ever I try to run the same code with my own .tflite model, it gives me the error "User code threw an uncaught exception: IllegalStateException - Error getting native address of native library: task_vision_jni". It gives me the same error with official tensor flow tflite test models, and when I put them on a raspberry pi, both worked just fine. Does anyone have a fix to this error or even just tips for the machine learning toolchain?
What are some alternatives?
mediapipe - Cross-platform, customizable ML solutions for live and streaming media.
cppflow - Run TensorFlow models in C++ without installation and without Bazel
ml5-library - Friendly machine learning for the web! ๐ค
mlpack - mlpack: a fast, header-only C++ machine learning library
openpose - OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation
awesome-teachable-machine - Useful resources for creating projects with Teachable Machine models + curated list of already built Awesome Apps!
BlazePose-tensorflow - A third-party Tensorflow Implementation for paper "BlazePose: On-device Real-time Body Pose tracking".
face-api.js - JavaScript API for face detection and face recognition in the browser and nodejs with tensorflow.js
tensorflow-bodypix-sample
Selenium WebDriver - A browser automation framework and ecosystem.
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.
Apache Spark - Apache Spark - A unified analytics engine for large-scale data processing