Indian Datasets for DS/ML! 
Indian startup funding -
https://www.kaggle.com/sudalairajkumar/indian-startup-funding
6000+ Indian Food Recipes -
https://www.kaggle.com/kanishk307/6000-indian-food-recipes-dataset
Covid19 in India -
https://www.kaggle.com/sudalairajkumar/covid19-in-india
Indian Literacy -
https://www.kaggle.com/satyampd/india-literacy-data-district-wise
News Summary -
https://www.kaggle.com/sunnysai12345/news-summary
 
Education in India -
https://www.kaggle.com/rajanand/education-in-india
Graduate Admissions - https://www.kaggle.com/mohansacharya/graduate-admissions
Nifty Indices -
https://www.kaggle.com/sudalairajkumar/nifty-indices-dataset
e-Commerce -
https://www.kaggle.com/benroshan/ecommerce-data
Income Classification -
https://www.kaggle.com/lodetomasi1995/income-classification
NSE Listed 1000+ companies' Historical Data -
https://www.kaggle.com/abhishekyana/nse-listed-1384-companies-data
#دیتا #یادگیری_ماشین #منابع
  
  Indian startup funding -
https://www.kaggle.com/sudalairajkumar/indian-startup-funding
6000+ Indian Food Recipes -
https://www.kaggle.com/kanishk307/6000-indian-food-recipes-dataset
Covid19 in India -
https://www.kaggle.com/sudalairajkumar/covid19-in-india
Indian Literacy -
https://www.kaggle.com/satyampd/india-literacy-data-district-wise
News Summary -
https://www.kaggle.com/sunnysai12345/news-summary
Education in India -
https://www.kaggle.com/rajanand/education-in-india
Graduate Admissions - https://www.kaggle.com/mohansacharya/graduate-admissions
Nifty Indices -
https://www.kaggle.com/sudalairajkumar/nifty-indices-dataset
e-Commerce -
https://www.kaggle.com/benroshan/ecommerce-data
Income Classification -
https://www.kaggle.com/lodetomasi1995/income-classification
NSE Listed 1000+ companies' Historical Data -
https://www.kaggle.com/abhishekyana/nse-listed-1384-companies-data
#دیتا #یادگیری_ماشین #منابع
Kaggle
  
  Indian Startup Funding
  Funding details of the startups in India
  Unsupervised Speech Recognition
Github: https://github.com/pytorch/fairseq/tree/master/examples/wav2vec/unsupervised
Pretraned model: https://github.com/pytorch/fairseq/tree/master/examples/wav2vec
Facebook blog: https://ai.facebook.com/blog/wav2vec-unsupervised-speech-recognition-without-supervision/
  
  Github: https://github.com/pytorch/fairseq/tree/master/examples/wav2vec/unsupervised
Pretraned model: https://github.com/pytorch/fairseq/tree/master/examples/wav2vec
Facebook blog: https://ai.facebook.com/blog/wav2vec-unsupervised-speech-recognition-without-supervision/
GitHub
  
  fairseq/examples/wav2vec/unsupervised at main · facebookresearch/fairseq
  Facebook AI Research Sequence-to-Sequence Toolkit written in Python. - facebookresearch/fairseq
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  آموزش سایت کورسرا در مورد 
NLP by National Research University Higher School of Economics
10 Perplexity: is our model surprised with a real text?
#پردازش_زبان_طبیعی #منابع #فیلم #کلاس_آموزشی #کورسرا
@AI_Python
  NLP by National Research University Higher School of Economics
10 Perplexity: is our model surprised with a real text?
#پردازش_زبان_طبیعی #منابع #فیلم #کلاس_آموزشی #کورسرا
@AI_Python
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  آموزش سایت کورسرا در مورد 
NLP by National Research University Higher School of Economics
11 Smoothing: what if we see new n-grams?
#پردازش_زبان_طبیعی #منابع #فیلم #کلاس_آموزشی #کورسرا
❇️ @AI_Python
✴️ @AI_Python_EN
  NLP by National Research University Higher School of Economics
11 Smoothing: what if we see new n-grams?
#پردازش_زبان_طبیعی #منابع #فیلم #کلاس_آموزشی #کورسرا
❇️ @AI_Python
✴️ @AI_Python_EN
Check out Deepmind's latest release AndroidEnv, an open-source Python library for Reinforcement Learning research built on top of the Android ecosystem...
https://deepmind.com/research/publications/androidenv
https://github.com/deepmind/android_env
#منابع #مقاله
❇️ @AI_Python
✴️ @AI_Python_EN
  https://deepmind.com/research/publications/androidenv
https://github.com/deepmind/android_env
#منابع #مقاله
❇️ @AI_Python
✴️ @AI_Python_EN
نود جی اس را در مرورگر خودتون به طور کامل به اجرا بگذراید
https://blog.stackblitz.com/posts/introducing-webcontainers/
❇️ @AI_Python
✴️ @AI_Python_EN
  
  https://blog.stackblitz.com/posts/introducing-webcontainers/
❇️ @AI_Python
✴️ @AI_Python_EN
Stackblitz
  
  Introducing WebContainers: Run Node.js natively in your browser
  Today we're excited to announce WebContainers, a new type of WebAssembly-based operating system that boots instantly and enables Node.js environments to run natively in-browser.
👍1
  Will reinforcement learning solve computer vision? simulation?
showcased his recent work and shared insights into the above questions in his CRV'2021 keynote and Q&A: https://t.co/o9hXf3MOHr
  
  showcased his recent work and shared insights into the above questions in his CRV'2021 keynote and Q&A: https://t.co/o9hXf3MOHr
YouTube
  
  CRV 2021 - Sergey Levine (Berkeley) - Keynote
  Sergey Levine @ Conference on Robots and Vision (CRV) 2021
https://people.eecs.berkeley.edu/~svlevine/
Title: Generalization in Data-Driven Control
Abstract: Current machine learning methods are primarily deployed for tackling prediction problems, which…
  https://people.eecs.berkeley.edu/~svlevine/
Title: Generalization in Data-Driven Control
Abstract: Current machine learning methods are primarily deployed for tackling prediction problems, which…
The FLORES-101 Evaluation Benchmark for Low-Resource and Multilingual Machine Translation
Github: https://github.com/facebookresearch/flores
Paper: https://ai.facebook.com/research/publications/the-flores-101-evaluation-benchmark-for-low-resource-and-multilingual-machine-translation
Facebook blog: https://ai.facebook.com/blog/the-flores-101-data-set-helping-build-better-translation-systems-around-the-world/
  
  Github: https://github.com/facebookresearch/flores
Paper: https://ai.facebook.com/research/publications/the-flores-101-evaluation-benchmark-for-low-resource-and-multilingual-machine-translation
Facebook blog: https://ai.facebook.com/blog/the-flores-101-data-set-helping-build-better-translation-systems-around-the-world/
GitHub
  
  GitHub - facebookresearch/flores: Facebook Low Resource (FLoRes) MT Benchmark
  Facebook Low Resource (FLoRes) MT Benchmark. Contribute to facebookresearch/flores development by creating an account on GitHub.
  Forwarded from DLeX: AI Python (Meysam Asgari)
گروه  DeepLearning and AI
https://t.iss.one/DeepLearningAIExperts
گروه پردازش زبان طبیعی NLP:
https://t.iss.one/NLPExperts
گروه زبانهای برنامه نویسی پایتون و لینوکس و...
https://t.iss.one/PythonLinuxExperts
کانال گروه :
❇️ @AI_Python
  https://t.iss.one/DeepLearningAIExperts
گروه پردازش زبان طبیعی NLP:
https://t.iss.one/NLPExperts
گروه زبانهای برنامه نویسی پایتون و لینوکس و...
https://t.iss.one/PythonLinuxExperts
کانال گروه :
❇️ @AI_Python
https://hhaji.github.io/Deep-Learning/Graph-Neural-Networks/
Graph Neural Networks | Deep Learning
  
  Graph Neural Networks | Deep Learning
Deep Learning
  
  Graph Neural Networks
  Course: Deep Learning
  Forwarded from پویش علم آمار
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  Data Science Career Q&A for Undergrads with Mallory LaRusso
چگونه از طریق گرفتن کارشناسی آمار به یک دانشمند داده تبدیل شوید و موقعیتهای شغلی مناسب را پیدا کنید. در این ویدئو پرسشهای دانشجویان کارشناسی را با کمک یکی از افرادی که به تازگی از رشته آمار فارغ التحصیل شده است پاسخ میدهند.
Keywords: data analytics, data science, programming, coding, workday, work culture, educational background
هدف این کانال آرشیو مطالب و مباحث پیرامون #پویش_علم_آمار است.
پیوستن به کانال پویش علم آمار
  چگونه از طریق گرفتن کارشناسی آمار به یک دانشمند داده تبدیل شوید و موقعیتهای شغلی مناسب را پیدا کنید. در این ویدئو پرسشهای دانشجویان کارشناسی را با کمک یکی از افرادی که به تازگی از رشته آمار فارغ التحصیل شده است پاسخ میدهند.
Keywords: data analytics, data science, programming, coding, workday, work culture, educational background
هدف این کانال آرشیو مطالب و مباحث پیرامون #پویش_علم_آمار است.
پیوستن به کانال پویش علم آمار
Changing the Mind of Transformers for Topically-Controllable Language Generation
Github: https://github.com/iesl/interactive_LM
Paper: https://arxiv.org/abs/2103.15335v1
  
  Github: https://github.com/iesl/interactive_LM
Paper: https://arxiv.org/abs/2103.15335v1
GitHub
  
  GitHub - iesl/interactive_LM
  Contribute to iesl/interactive_LM development by creating an account on GitHub.