Companies similar to MARC TUSCHER
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  • id2223kth.github.io
This course marries scalable machine learning systems with deep learning, and helps students to work on problems of how to scale machine learning and deep learning. We will look at scaling problems from architecture (serverless machine learning),..
Relevance: 17.516209
  • www.tomteresi.com
  • 1
Currently working as a Computer Vision Engineer at DeepX Inc. in Tokyo, Japan where my main focus is on creating fast, robust, and generalized deep learning models for easy application to any industry. I have extensive working knowledge of Commputer..
Relevance: 17.254272
  • deeplearningworld.de
  • 6
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Deep Learning World is back on stage! After two years of virtual conferences the European AI community meets again in Berlin to present the successes of applied deep learning and the challenges with deep learning methods. Especially during the Corona..
Relevance: 17.210976
  • enterprisedeeplearning.github.io
  • 1
Introducing Enterprise Deep Learning®. Experience on-demand deep machine learning for the enterprise... Store and re-use the Enterprise Deep Learning® source code for other projects. Enterprise Deep Learning® develops a solution and trains your..
Relevance: 17.078863
  • marctuscher.github.io
Co-Founder & CTO of sereact , a startup focusing on deep learning and robotics. Working on deep learning, computer vision and software architecture. We deploy state-of-the-art machine learning models to robots, increasing the cost-efficiency in..
Relevance: 16.574045
  • www.aiaioo.com
  • 1
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We also work on applications of deep learning to computer vision and OCR problems... Algorithm for deep learning (and learning arbitrary functions) that is not based on neural networks... On the fly translations for online sellers across Japanese,..
Relevance: 16.536385
  • deeplearningday.github.io
It is impossible to overlook the transformative effect that the field of deep learning has had on the world and sciences. Deep neural networks have been growing omnipresent, thanks to their state-of-the-art performance in a number of domains..
Relevance: 16.38454
  • www.deepdiagnosis.tech
  • 1
Deep Diagnosis is a Deep Learning enabled diagnosis tool for the patients and doctors... Our Deep Learning Algorithms working on Cloud Servers will immediately scan the uploaded image for Pneumonia..
Relevance: 16.370558
  • bluehexagon.ai
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We are a deeply driven team of deep learning and cybersecurity experts. Our founders were responsible for Qualcomm's machine learning-based security products and are listed on over 500 patents. Our team includes some of the best minds in..
Relevance: 16.151894
  • breakawaylearning.nl
  • 1
1. Understanding Deep Learning Workflows and Algorithms: Through exercises and case studies, you will learn how to apply deep learning to predict geological features such as lithology, pore fluids, and facies. You'll become familiar with the workflow..
Relevance: 15.929289
  • steliosven10.github.io
  • 1
To drive the experimentation and development of novel deep learning models, both industrial and academic institutions have released software frameworks, optimised for training and deploying deep learning models with high compute performance...
Relevance: 15.917682
  • dlrs-workshop.org
Deep Learning is now one of the most quickly evolving and interesting research topics in Recommendation Systems technology. While the deep learning boom happened only recently (2016-2017) for recommender systems - with DLRS 2016 and 2017 also taking..
Relevance: 15.749203
  • headneckml.com
  • 1
We created a Thyroidectomy classifier based on Deep Learning that is capable of classifying based on set criteria... We created a Tympanic Membrane image classifier based on Deep Learning that is capable of classifying given images into multiple..
Relevance: 15.744034
  • charles-christensen.com
  • 1
Charles Nicklas Christensen is a researcher specialising in computer vision, with experience in deep learning, super-resolution, image segmentation, and image classification. While working towards his PhD at the University of Cambridge, he explored..
Relevance: 15.738773
  • dlsys.cs.washington.edu
Over the past few years, deep learning has become an important technique to successfully solve problems in many different fields, such as vision, NLP, robotics. An important ingredient that is driving this success is the development of deep learning..
Relevance: 15.732982
  • qdata.github.io
Research Blogs of Qdata Team in the University of Virignia Computer Science Department... This front adapts from our legacy website deepchrome.org (later to deepchrome.net) and introduces updates of a suite of deep learning tools we have developed..
Relevance: 15.673515
  • www.saxelab.org
  • 1
  • 15
The interactions of billions of neurons ultimately give rise to our thoughts and actions. Remarkably, much of our behavior is learned starting in infancy and continuing throughout our lifespan. We aim to develop a mathematical toolkit suitable for..
Relevance: 15.647932
  • nlp.uoregon.edu
  • 1
The NLP Group at the University of Oregon employs and designs effective learning algorithms for information extraction and text mining in natural language processing and data mining. We are currently focusing on deep learning algorithms to solve such..
Relevance: 15.605022
  • tmbdev.github.io
I'm a researcher at NVIDIA, working on petascale deep learning, self-supervised training, text recognition, causality and sequence modeling, and the connection between statistics and deep learnining... Prior to NVIDIA, I worked at Google Brain,..
Relevance: 15.5216
  • www.nuavis.com
  • 1
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NUAVIS is a company focused on the development of integral projects and products based on computer vision and deep learning, which improve efficiency and accuracy of processes in industrial and professional environments... NUAVIS provides computer..
Relevance: 15.519341
  • haet2022.github.io
In this workshop, we propose to focus on reducing the complexity of the training process. Our aim is to gather researchers interested in reducing energy, time, or memory usage for faster/cheaper/greener prototyping or deployment of deep learning..
Relevance: 15.491926
  • haet2021.github.io
In this workshop, we propose to focus on reducing the complexity of the training process. Our aim is to gather researchers interested in reducing energy, time, or memory usage for faster/cheaper/greener prototyping or deployment of deep learning..
Relevance: 15.477962
  • gertjanburghouts.github.io
  • 1
Our team is part of DARPA's program Learning with Less Labels. We are a partner in the NWO program Efficient Deep Learning, where I co-supervise a PhD candidate (David Zhang) together with the University of Amsterdam (Cees Snoek), on learning sets..
Relevance: 15.429158
  • emdl20.github.io
  • 3
In recent years, breakthroughs from the field of deep learning have transformed how sensor data (e.g. images, audio, and even accelerometers and GPS) can be interpreted to extract the high-level information needed by bleeding-edge sensor-driven..
Relevance: 15.370866
  • kathanvyas.github.io
  • 1
I am a dedicated Ph.D. student specializing in the intersection of machine learning, deep learning, and healthcare. My passion lies in exploring how these advanced technologies can revolutionize healthcare systems, diagnostics, and patient care.....
Relevance: 15.322318
  • www.scaletorch.ai
  • 1
Scaletorch is a team of Pytorch obsessed software and deep learning engineers working round the clock to reduce AI training time and cost by an order of magnitude... Scaletorch is a platform that speeds up the training of deep learning models by..
Relevance: 15.299332
  • www.iamai.academy
  • 1
  • 1
Iamai.academy is redefining education with unconventional and highly practical approach to knowledge delivery... In the years that followed, we expanded our "treasury of knowledge" offering and created "cutting edge" courses such as virtual reality,..
Relevance: 15.295104
  • hk3lab.ai
  • 1
HK3 Lab develops research assets for the new season of AI, where the availability of predictive models is vital for any organization, from corporates to public agencies and individuals... Expertise based on > 20 years of international research in..
Relevance: 15.272299
  • sergioskar.github.io
  • 1
My name is Sergios and I am a Machine Learning Engineer. My main goal is to educate people about Deep Learning and help companies build their Artificial Intelligence products. Contributing to the AI community has been the common denominator to all my..
Relevance: 15.263166
  • elasticdl.github.io
ElasticDL is a Kubernetes-native deep learning framework built on top of TensorFlow 2.0 that supports fault-tolerance and elastic scheduling... Through Kubernetes-native design, ElasticDL enables fault-tolerance and works with the priority-based..
Relevance: 15.248788