ModelDepot

ModelDepot is a place where you can find and share optimized, pretrained ML models that are perfect for your development needs.

[ModelDepot @ModelDepot]

Check out our latest model on ModelDepot! https://t.co/vxJqHe7D1b

[Mike Shi — oss/acc @MikeShi42]

Check out PSPNet50 for Semantic Segmentation in TensorFlow on @ModelDepot! Efficiently detect cars, pedestrians, etc. in your images. Check it out: https://t.co/ONl3VPDh7O

#MachineLearning #ComputerVision #SemanticSegmentation #DeepLearning #TensorFlow #AI

[Mike Shi — oss/acc @MikeShi42]

Looking to apply a deep learning model to your next project? Here's 4 steps I put together after talking to hundreds of engineers on @ModelDepot for what to look out for!

https://t.co/k7dqVMCqdu

#MachineLearning #AI #Data #Python #ML #DeepLearning #DL

[ModelDepot @ModelDepot]

In-Browser Object Detection just got better!

[Mike Shi — oss/acc @MikeShi42]

🎉 @ModelDepot Tiny YOLO in Tensorflow has been upgraded to 1.0.1!

Fixed memory leaks, [email protected] compatibility, tfjs NMS, and out-of-the-box support for custom models!

Check it out: https://t.co/a6xef9Ulx0

#MachineLearning #Javascript #ComputerVision #NPM #TensorFlow

[ModelDepot @ModelDepot]

Learn how to quickly build your own Reinforcement Learning algorithm in 50 lines of Python!

#MachineLearning #ReinforcementLearning #Numpy #Python #AI #LearnMachineLearning

[Towards Data Science @TDataScience]

“From Scratch: AI Balancing Act in 50 Lines of Python” by @MikeShi42 ⚖️✨ https://t.co/I22yhMLtzE

[ModelDepot @ModelDepot]

Awesome to see our work with Tiny Yolo in TF.js make @TDataScience's top 8 must read DL articles.
Check out the post here! https://t.co/RrSxyLIFKW
Check out the model on https://t.co/DwgxV20Lbg! https://t.co/8AzjvFBjqf

#MachineLearning #DeepLearning #javascript #TensorFlow

[ModelDepot @ModelDepot]

Excited to be partnering with @FritzLabs to empower developers to easily deploy their favorite pre-trained ML models on mobile platforms! Learn more here: https://t.co/NRzLCRyRRy

[harsh✌️ @HarshSikka]

Machine Learning shouldn't be hard.

We built @ModelDepot Percept to help you deploy state of the art Image Recognition with just one line of code. Use it out of the box for prediction or transfer learning, or retrain it on your own!

Check us out -> https://t.co/6vVRrBv3bi

[ModelDepot @ModelDepot]

@yonajune Thanks! Let us know what you think ;)

[Mike Shi — oss/acc @MikeShi42]

TF Hub + TF.js = ❤️ Really excited how fast the TF team has been moving in growing its dev support, can't wait to see what else comes up! https://t.co/m5mHlyUYOk

[Chris Hanscom @ChrisHanscom]

Cool idea by @ModelDepot https://t.co/jFO2qplz7k

[Mike Shi — oss/acc @MikeShi42]

Excited @ModelDepot's #Tensorflow #JS guide got featured on @TDataScience weekly selection! 😄

Check it out on ModelDepot: https://t.co/pORH7tRYL7

Guide on TDS:
https://t.co/FeLVnaBVw0

[Mike Shi — oss/acc @MikeShi42]

Check out my guide on using #Javascript and @TensorFlow to detect objects using your webcam w/ #MachineLearning! Check out more ML models available @ModelDepot.io as well!

#ComputerVision #DeepLearning #AI #WebDev https://t.co/Z9wfIXwtpX

[harsh✌️ @HarshSikka]

What?!? DeepLearning in your browser?!
My cofounder @MikeShi42 absolutely nailed it with this demo. Check it out if you’re interested in using #tensorflowjs to do ML in js on the browser. Also, check out @ModelDepot to find other awesome models!
https://t.co/XUueRIGPZX

[David Justo @davidjustodavid]

Trying out @ModelDepot's YOLO demo. Hope to see more demos hosted on the site soon. Cool concept

Also, I only look 45% person apparently

[harsh✌️ @HarshSikka]

I just published “Need ML to solve your business problems?” https://t.co/wLDMpVDQ6h

[harsh✌️ @HarshSikka]

Want your business to use ML?

Fill out https://t.co/O89N9pAof7! It'll take a minute and you get a free 30 minute consultation :) It's one of the ways we're trying to help democratize AI with @ModelDepot

Questions, Feedback? Hit me up -> [email protected]

[antic @antic]

Human holding something... must be a cell phone. #tensorflowjs not yet trained on gophers. Pretty cool though: https://t.co/CJrDgX0iUs #machinelearning #computervision #javascript #webcam

[harsh✌️ @HarshSikka]

An object detection model that runs in your browser using your webcam! It uses @TensorFlow's new Tensorflow.js. Absolutely incredible stuff from @MikeShi42!

#DeepLearning #TensorFlow #Tensorflowjs #ModelDepot #npm https://t.co/Q4ZKfXSk9s

[Mike Shi — oss/acc @MikeShi42]

Use #deeplearning to detect objects with your webcam, straight in your browser using @TensorFlow and #Javascript! Check out the live demo: https://t.co/9z0zGF7rBE

Instructions to use it on @ModelDepot (https://t.co/iZxTAESY6S)!

#ComputerVision #MachineLearning #npm

[Mike Shi — oss/acc @MikeShi42]

Building an app that needs image landmark recognition? We got that covered @ModelDepot with https://t.co/cBsRvCwuHk

You can use @TensorFlow Hub to easily plug this #DeepLearning model right into your project. Easy #MachineLearning without drowning in research papers!