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ml-ai

ML-AI-Community / ml-ai

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ML-AI Community | Open Source | Built in Bharat for the World | Data science problem statements and solutions

data-science machine-learning deep-neural-networks reinforcement-learning deep-learning neural-network tensorflow machine-learning-algorithms academic artificial-intelligence supervised-learning reinforcement-learning-algorithms india experts unsupervised-learning neural industry teach bharat academic-researchers
  • Updated May 8, 2020
  • Jupyter Notebook

tabaddor / av-swe-guide

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Set links to open in new tab by default

tabaddor
tabaddor commented Aug 20, 2020

For all links that link to EXTERNAL sites or pages (not part of the repository), add the following:

[link](url){:target="_blank"}

A note: This may not actually work, and may just render the {"target="_blank"} as text. If that is the case, use an anchor tag, but make sure the text ui looks the same as before.

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backlog good first issue help wanted

7ayden / DeepLearning.AI

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In five courses, you will learn the foundations of Deep Learning, understand how to build neural networks, and learn how to lead successful machine learning projects. You will learn about Convolutional networks, RNNs, LSTM, Adam, Dropout, BatchNorm, Xavier/He initialization, and more. You will work on case studies from healthcare, autonomous driving, sign language reading, music generation, and natural language processing. You will master not only the theory, but also see how it is applied in industry. You will practice all these ideas in Python and in TensorFlow, which we will teach. You will also hear from many top leaders in Deep Learning, who will share with you their personal stories and give you career advice. AI is transforming multiple industries. After finishing this specialization, you will likely find creative ways to apply it to your work. We will help you master Deep Learning, understand how to apply it, and build a career in AI. Created by: Deeplearning.AI

deep-learning industry
  • Updated May 14, 2018

anishacharya / nlp-done-right

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Common Libraries developed in "PyTorch" for different NLP tasks. Sentiment Analysis, NER, LSTM-CRF, CRF, Semantic Parsing

nlp natural-language-processing deep-neural-networks deep-learning sentiment-analysis pytorch lstm named-entity-recognition deep-learning-algorithms rnn deep-learning-tutorial academia industry lstm-neural-networks sentiment-classification semantic-parsing rnn-pytorch nlp-tasks crf-model lstm-sentiment-analysis lstm-crf
  • Updated Jun 29, 2020
  • Python

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