platform ai

[JupyterCon 2023 @JupyterCon]

.@jeremyphoward will deliver a keynote at #JupyterCon2020! Jeremy is a Co-Founder of @fastdotai, a Researcher in Residence at @usfca, and the Chief Scientist at @platform_ai.

Register: https://t.co/cgr79jDR3T

[platform ai @platform_ai]

@aburtourroz Thanks for your interest. We are working on a generic prediction app but for now you can use this https://t.co/C3uw2npdNo

[platform ai @platform_ai]

Classifying fashion, cars, products, hotel rooms, real estate, medical, aerial images - all done in 1 week by @fellowshipai fellows https://t.co/CF9FcJT0Ov #democratization #deeplearning #ai #nocode

[platform ai @platform_ai]

@JamesOsundwa @jeremyphoward Great to meet you too James! Always here to help.

[James Osundwa @JamesOsundwa]

While taking @jeremyphoward 's https://t.co/sPDbB6Nuz3 I tried out @platform_ai. In a few minutes I was able to label and classify over 1,000 images. Hello #deeplearning for #retail! Nice to meet you :)

[Kit Macleod 🇺🇦 @KitMacleod]

Impressive vision @jeremyphoward of making #deeplearning available for all, fastai courses/library https://t.co/aGr1nOM7yC and @platform_ai are huge steps; I assume you have thought about using @googledevs #Blockly, with fastai/@PyTorch- could be amazing e.g. @MSMakeCode apps

[Chirag Nagpal @nagpalchirag]

We arXived our paper (https://t.co/rgNgASmmR9) with State of the Art results on using Mixtures of Experts 4 Survival Anlysis. Our proposed model beats Deep Surv (https://t.co/zdBvUXWW92) on multiple std datasets, while retaining intrpretability via linearity. @mldcmu #ML4H #MLHC

[Pawsey Supercomputing Research Centre @PawseyCentre]

#DSW19 MAY 9 @PerthMLGroup live demo on how to use @platform_ai to perform multi-classes image #labelling and #predictions without #code. Reg: https://t.co/EfZ8bqkzjI @moodymwlee will discuss #convolutional #neuralnetwork #hyperparameter #optimisation techniques & impacts

[platform ai @platform_ai]

We are working on adding word embedding capabilities to platform including some new work on how to train these models https://t.co/USaZoQXYbp #mlearning

[platform ai @platform_ai]

@srmsoumya Our current code is dependent on a lot of proprietary pieces, that makes it hard to share externally.

[platform ai @platform_ai]

A user labels a few images, we start focusing on the relevant bits to make labeling even faster https://t.co/62QuJwckiR #mlearning

[platform ai @platform_ai]

Label a few images and hit train, the special loss function we use will make your next projection much better https://t.co/o8IhrZnUIO #DeepLearning

[Jessica Gury @Jessica_Gury]

@Jason https://t.co/RLN1dLxito by @arshak

[platform ai @platform_ai]

New State-of-the-art in Logo Detection Using YOLOv3 and Darknet https://t.co/8VLCzxFaWa #mlearning #SOTA

[platform ai @platform_ai]

Classifying Burn Depth https://t.co/OwNc3J9MhM #HealthTech #mlearning

[platform ai @platform_ai]

Surpassing Human Judgement for Fashion Style https://t.co/iuhALmbzN0 #mlearning #SOTA

[platform ai @platform_ai]

@HarshSikka @jeremyphoward Yes at the moment, it's the only way.

[platform ai @platform_ai]

Using recognition models on face attributes; a semi-supervised approach for Celeb-A https://t.co/ALGSD1D9qK #FacialRecognition #DeepLearning

[platform ai @platform_ai]

New Food-101 SoTA with @fastdotai and our augmentation search https://t.co/lQRwriS0Dj #mlearning

[platform ai @platform_ai]

Automatically Finding Useful Augmentations with Minimal Use of Compute #mlearning @fastdotai
https://t.co/6CtKdAekuu