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How to Deploy your ML models as Telegram Bots
In this project, I trained a Model to detect mask on people's face and made it available on both Android and IOS through a Telegram Bot. It's deployed on ...
deep-learning fastai telegram-bot heroku
How to Extract Structured Data from Documents - Complete Tutorial
In this project we learn how to build AI methods for information extraction from documents to comprehensively beat traditional OCR
optical-character-recognition information-extraction computer-vision natural-language-processing
PyTorch implementation of Neural Style Transfer, Pix2Pix, CycleGAN, and Deep Dream!
neural-style-transfer pix2pix cyclegan pytorch
MSeg: A Composite Dataset for Multi-domain Semantic Segmentation
A composite dataset that unifies semantic segmentation datasets from different domains.
segmentation instance-segmentation panoptic-segmentation multi-domain
Distributed SQL with Dask
Scale your Python data science across multiple GPUs with BlazingSQL (w/ code + data)
blazingsql dask gpu sql
Understanding & Implementing SimCLR - an ELI5 guide
I explain the SimCLR and its contrastive loss function step by step, build image embeddings and then show how to use them to train image classifier on top.
deep-learning computer-vision pytorch self-supervised-learning
Beginner’s Guide to BlazingSQL
Everything you need to know when starting out
blazingsql rapids gpu sql
Classify photos in 600 classes using nine million Open Images
If you’re looking build an image classifier but need training data, look no further than Google Open Images.
convolutional-neural-networks dataset article code
The Abstraction and Reasoning Corpus (ARC)
Can a computer learn complex, abstract tasks from just a few examples? ARC can be used to measure a human-like form of general fluid intelligence.
artificial-general-intelligence common-sense-reasoning arc dataset
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