Registration is Open Party
Montreal #AI and #Neuroscience
29-30 Nov 2021
http://main2021.org
❇️ @AI_Python
Montreal #AI and #Neuroscience
29-30 Nov 2021
http://main2021.org
❇️ @AI_Python
مقاله برگزیده کنفرانس NIPS2021
paper:"Partition and Code: learning how to compress graphs", a neural graph compression framework, at the meeting point of information theory and graph machine learning.
https://arxiv.org/abs/2107.01952
#کنفرانس #مقاله #یادگیری_ماشین #شبکه عصبی
❇️ @AI_Python
paper:"Partition and Code: learning how to compress graphs", a neural graph compression framework, at the meeting point of information theory and graph machine learning.
https://arxiv.org/abs/2107.01952
#کنفرانس #مقاله #یادگیری_ماشین #شبکه عصبی
❇️ @AI_Python
DSI's Susan McGregor wrote an indispensable guide for protecting news writers, sources, and organizations in the digital era. Learn more:
https://datascience.columbia.edu/news/2021/is-your-data-safe/
❇️ @AI_Python
https://datascience.columbia.edu/news/2021/is-your-data-safe/
❇️ @AI_Python
The Data Science Institute at Columbia University
Is Your Data Safe? - The Data Science Institute at Columbia University
As technological and legal changes have hollowed out the protections that reporters and news organizations have depended upon for decades, information security concerns facing journalists as they report, produce, and … Continued
Theoretical and empirical analysis of a fast algorithm for extracting polygons from signed distance bounds
Github: https://github.com/nenadmarkus/gridhopping
Paper: https://arxiv.org/abs/2111.05778v1
Github: https://github.com/nenadmarkus/gridhopping
Paper: https://arxiv.org/abs/2111.05778v1
GitHub
GitHub - nenadmarkus/gridhopping: Fast polygonization of signed distance fields
Fast polygonization of signed distance fields. Contribute to nenadmarkus/gridhopping development by creating an account on GitHub.
SustainBench: Benchmarks for Monitoring the Sustainable Development Goals with Machine Learning
Github: https://github.com/sustainlab-group/sustainbench
Paper: https://arxiv.org/abs/2111.04724v1
Datasets: https://sustainlab-group.github.io/sustainbench/docs/datasets/
Github: https://github.com/sustainlab-group/sustainbench
Paper: https://arxiv.org/abs/2111.04724v1
Datasets: https://sustainlab-group.github.io/sustainbench/docs/datasets/
GitHub
GitHub - sustainlab-group/sustainbench
Contribute to sustainlab-group/sustainbench development by creating an account on GitHub.
Forwarded from Opportunities
Professional Doctorate in Research Degrees in the Institute of Biomedical & Environmental Science & Technology ,University of Bedfordshire
https://www.beds.ac.uk/ibest/research/
🔰 @DLeX_Apply
https://www.beds.ac.uk/ibest/research/
🔰 @DLeX_Apply
Forwarded from Opportunities
Multiple Open Fully Funded PhD Student Positions in Computer Vision, Image Processing and Machine Learning
https://euraxess.ec.europa.eu/jobs/698860
🔰 @DLeX_Apply
https://euraxess.ec.europa.eu/jobs/698860
🔰 @DLeX_Apply
Forwarded from Opportunities
Looking for an opportunity to shape the future of AI and machine learning? Apply now to the ETH AI Center Doctoral or Postdoctoral Fellowship 2022! More information on:
https://ai.ethz.ch/education/phd-and-postdoc-programs.html
🔰 @DLeX_Apply
https://ai.ethz.ch/education/phd-and-postdoc-programs.html
🔰 @DLeX_Apply
Forwarded from Opportunities
Statistician (Postdoc or PhD candidate)
Requirements:
- Master’s/PhD degree (or equivalent) in (bio-)statistics, mathematics, data science, computer science or related disciplines
- Solid background in statistics
- Interest in machine learning
- Programming skills in R or Python, other languages such as C++ or Java are beneficial
- Good command of spoken and written English
*Initiative, motivation, commitment, and scientific curiosity
https://www.leibniz-gemeinschaft.de/en/careers/jobs/detail/job/show/Job/statistician-postdoc-or-phd-candidate-interpretable-machine-learning
November 30, 2021
🔰 @DLeX_Apply
Requirements:
- Master’s/PhD degree (or equivalent) in (bio-)statistics, mathematics, data science, computer science or related disciplines
- Solid background in statistics
- Interest in machine learning
- Programming skills in R or Python, other languages such as C++ or Java are beneficial
- Good command of spoken and written English
*Initiative, motivation, commitment, and scientific curiosity
https://www.leibniz-gemeinschaft.de/en/careers/jobs/detail/job/show/Job/statistician-postdoc-or-phd-candidate-interpretable-machine-learning
November 30, 2021
🔰 @DLeX_Apply
کانال DLeX حامی خانواده ها و افراد نیازمند هنوطنانمان می باشد بیاییم لبخند را بر لبان هموطنانمان بنشانیم تا پدر و مادری شرمنده فرزندانش نباشد. با هرچقدر که میتوانید در این امر مهربانی و زیبایی به دانش آموزان، دانشجویان خواهران و برادران خودمان که در این روزهای سخت مالی در کنارشان باشیم.
موسسه خیریه نسیم مهربانی
💳 6037997950135955
موسسه خیریه نسیم مهربانی
💳 6037997950135955
Forwarded from Opportunities
I have multiple open MSc/PhD positions on memory augmented neural nets, RL, Lifelong Learning, NLP for Fall 2022 at Chandar Lab / Mila Quebec and Polytechnique Montréal
Details: https://chandar-lab.github.io/join/
Applications due Dec 1st:
https://mila.quebec/en/cours/supervision/
🔰 @DLeX_Apply
Details: https://chandar-lab.github.io/join/
Applications due Dec 1st:
https://mila.quebec/en/cours/supervision/
🔰 @DLeX_Apply
Forwarded from Opportunities
I will be recruiting graduate students for Fall'22. Interested in working on vision-language research? Apply here https://mila.quebec/en/cours/supervision/
Deadline Dec 1st, 2021.
More details on my research:
https://www.iro.umontreal.ca/~agrawal/
🔰 @DLeX_Apply
Deadline Dec 1st, 2021.
More details on my research:
https://www.iro.umontreal.ca/~agrawal/
🔰 @DLeX_Apply
لیست بهترین مقالات 2021
https://github.com/louisfb01/best_AI_papers_2021
#مقاله #الگوریتمها #منابع #آموزش #هوش_مصنوعی
❇️ @AI_Python
https://github.com/louisfb01/best_AI_papers_2021
#مقاله #الگوریتمها #منابع #آموزش #هوش_مصنوعی
❇️ @AI_Python
انتشار کورس یادگیری عمیق دانشگاه نیویورک
Deep Learning Course is now free & fully online
cds.nyu.edu/deep-learning/
#یادگیری_عمیق #منابع #آموزش_کلاسی #فیلم
❇️ @AI_Python
Deep Learning Course is now free & fully online
cds.nyu.edu/deep-learning/
#یادگیری_عمیق #منابع #آموزش_کلاسی #فیلم
❇️ @AI_Python
If you want to impress your peers ask them to throw at you a model size and you can immediately tell them how much memory it'd require. The secret is to multiply by 18. e.g. t5-11b needs ~200GB plus activation memory.
It's now explained in details here:
https://huggingface.co/transformers/master/performance.html#anatomy-of-model-s-memory
#آموزش #پردازش_زبان_طبیعی
❇️ @AI_Python
It's now explained in details here:
https://huggingface.co/transformers/master/performance.html#anatomy-of-model-s-memory
#آموزش #پردازش_زبان_طبیعی
❇️ @AI_Python