DLeX: AI Python
Təbii dilin emalı (Natural Language Processing (NLP)) بو ویدیودا من بیر پروژه ماشین ترنسلیشن تۆرکجه دیلینه باشلامیشام بونا آخیراجاغ باخین لوطفا. اگر بیر اویرنجی وارکی تز ارشد و یا دکتراسین الیه بیله بو ایشی ایشلیه من حاضیرام اونا ۳- ۵ میلیونا جاغ کمک ده…
تلاشهای دوست عزیزم دکتر جلیل نورمحمدی در رابطه با پردازش زبان طبیعی برای زبان ترکی-آذری هست.
خوشحال میشم از ایشون حمایت کنید.
🙏🙏🙏
میثم عسگری چناقلو
خوشحال میشم از ایشون حمایت کنید.
🙏🙏🙏
میثم عسگری چناقلو
مقاله خوب و برنده کنفرانس EMNLP
Visually Grounded Reasoning across Languages and Cultures
#پردازش_زبان_طبیعی #مقاله
❇️ @AI_Python
Visually Grounded Reasoning across Languages and Cultures
#پردازش_زبان_طبیعی #مقاله
❇️ @AI_Python
ACL Anthology
Visually Grounded Reasoning across Languages and Cultures
Fangyu Liu, Emanuele Bugliarello, Edoardo Maria Ponti, Siva Reddy, Nigel Collier, Desmond Elliott. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. 2021.
Python clean test tip:
A test should not depend on the state of any other tests or on external services.
❇️ @AI_Python
A test should not depend on the state of any other tests or on external services.
❇️ @AI_Python
Great course that focuses on full-stack production deep learning.
All the materials are free:
1. Lecture videos & slides
2. Code notebooks
3. Labs
4. Reading materials
Find them here:
https://fullstackdeeplearning.com/spring2021/
#فیلم #کلاس_آموزشی #منابع #یادگیری_عمیق
❇️ @AI_Python
All the materials are free:
1. Lecture videos & slides
2. Code notebooks
3. Labs
4. Reading materials
Find them here:
https://fullstackdeeplearning.com/spring2021/
#فیلم #کلاس_آموزشی #منابع #یادگیری_عمیق
❇️ @AI_Python
انتشار کورس جدید دانشگاه Cornell از دکتر Choudhury
⚠️ Imitation Learning: A Series of Deep Dives
#فیلم #کلاس_آموزشی #الگوریتمها #رباتیک #هوش_مصنوعی #تقلید_یادگیری
❇️ @AI_Python
⚠️ Imitation Learning: A Series of Deep Dives
#فیلم #کلاس_آموزشی #الگوریتمها #رباتیک #هوش_مصنوعی #تقلید_یادگیری
❇️ @AI_Python
Audio
به مناسبت 20 هزار نفر شدنمون
(الان یه سری حسود میگن ۱۹.۵ هزار نفریم :/ )
#موزیک
"Freedom" by Anthony Hamilton & Elayna Boynton in "Django Unchained"
ممنون از حمایتهاتون...
@ai_python
(الان یه سری حسود میگن ۱۹.۵ هزار نفریم :/ )
#موزیک
"Freedom" by Anthony Hamilton & Elayna Boynton in "Django Unchained"
ممنون از حمایتهاتون...
@ai_python
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