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<p style="padding-top: 1%; font-size:xx-large">INITIATIVES</p>
<!-- <hr style="background-color: black; width: 50%;"> -->
<p style="font-size: large;" class="ill-text-ini">SMLRA has conducted various student-led symposiums, workshops, seminars, research paper reading groups and industrial presentation since its inception back in 2018. Here's a glimpse of the events we have conducted so far!</p>
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<h2 class="display-4 pb-5 text-center ini-us">INITIATIVES BY US</h2>
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<a class="nav-link" id="test-skills-tab" data-toggle="tab" href="#test-skills" role="tab" aria-controls="test-skills" aria-selected="false">2018-19</a>
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<img class="card-img-top" src="./Images/Events/pytorch.jpeg" alt="Card image cap">
<div class="card-body">
<h5 class="card-title">PyTorch-101: Introduction to PyTorch</h5>
<p class="card-text" style="text-align:justify"> SMLRA conducted a hands-on workshop on PyTorch, a rapidly-growing deep learning framework by Facebook AI Research (FAIR) lab. PyTorch owes its popularity to its Pythonic nature of coding and its latest mobile support, which makes it a stiff competitor to TensorFlow. We taught about tensor basics and operations, linear and logistic regression, AutoGrad, neural networks and TensorBoard usage in PyTorch. The event was concluded with a doubt clearing session.
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<p class="card-text">1 March, 2021<small class="text-muted"></small></p>
<a class="card-text btn btn-dark text-light" href="https://github.com/smlra-kjsce/PyTorch-101" role="button" target="_blank">View on GitHub <i class="fab fa-github fa-1x"> </i></a>
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<img class="card-img-top" src="./Images/Events/meme.png" alt="Card image cap">
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<h5 class="card-title">Paper Reading and Implementation of "Dank Learning: Generating Memes using Deep Neural Networks</h5>
<p class="card-text" style="text-align:justify">SMLRA conducted Research Paper Reading and Implementation Session on <a href="https://arxiv.org/pdf/1806.04510.pdf"><b>Dank Learning: Generating Memes Using Deep Neural Networks</b></a>, where the authors present novel techniques to generate memes using LSTMs, Inception model, and Attention Mechanism. We discussed the important concepts of the paper and finally went on to demonstrate our implementation of the paper in PyTorch.</p>
<p class="card-text">30th January, 2021<small class="text-muted"></small></p>
<a class="card-text btn btn-dark text-light" href="https://youtu.be/cWVyb2JBWgk" role="button" target="_blank">View on YouTube <i class="fab fa-youtube fa-1x"> </i></a>
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<img class="card-img-top" src="./Images/Events/hack-d-covid.jpeg" alt="Card image cap">
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<h5 class="card-title">Hack-D-Covid</h5>
<p class="card-text" style="text-align:justify">Hack-D-Covid was a two-track competition hosted on Kaggle: the first track dealt with working with the X-Ray dataset to detect Covid-19 and the other track was an open-ended hackathon, with CORD-19 dataset.</p>
<p class="card-text">23rd-24th October, 2020<small class="text-muted"></small></p>
<a class="card-text btn btn-dark text-light" href="https://www.kaggle.com/c/kjsce-hack-d-covid20-track1" role="button" target="_blank">View on Kaggle <i class="fab fa-kaggle fa-1x"> </i></a>
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<img class="card-img-top" src="./Images/Events/ML101.PNG" alt="Card image cap">
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<h5 class="card-title">ML-101</h5>
<p class="card-text" style="text-align:justify">In our first online student-led symposium on Microsoft Teams, an introduction to Machine Learning Algorithms like Linear Regression, Logistic Regression, Naive Bayes Algorithm, SVMs, Decision Trees and Neural Networks was given. Both mathemetical explanation and logical intuition was provided for every algorithm with proper visualization and implementation and relevant examples.</p>
<p class="card-text">15th-16th August, 2020<small class="text-muted"></small></p>
<a class="card-text btn btn-dark text-light" href="https://github.com/smlra-kjsce/ML-101" role="button" target="_blank">View on GitHub <i class="fab fa-github fa-1x"> </i></a>
<a class="card-text btn btn-dark text-light" href="https://www.youtube.com/playlist?list=PLNyf6p4HkSL9bMZlD8x9P1KC_rxmVW3zg" role="button" target="_blank">View on YouTube <i class="fab fa-youtube fa-1x"> </i></a>
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<img class="card-img-top" src="./Images/Events/pie-and-ai-1.jpeg" alt="Card image cap">
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<h5 class="card-title">Pie & AI - Navi Mumbai: The Past & Future of AI</h5>
<p class="card-text" style="text-align:justify">SMLRA's first "Pie & AI session" in collaboration with deeplearning.ai with guest speaker <a href="https://www.linkedin.com/in/s-dsouza/?originalSubdomain=in" target="_blank">Mr. Shaun D'Souza</a>.</p>
<p class="card-text">6th June, 2020<small class="text-muted"></small></p>
<a class=" card-text btn btn-dark text-light" href="https://www.youtube.com/watch?v=QPPc8V-Zg4w" role="button" target="_blank">View on YouTube <i class="fab fa-youtube fa-1x"> </i></a>
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<img class="card-img-top" src="./Images/Events/NLP-101.jpg" alt="Card image cap">
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<h5 class="card-title">Deep Learning in NLP-101</h5>
<p class="card-text" style="text-align:justify">In this student-led symposium, an introduction to word2vec, GloVe, RNNs, LSTMs, and ULMFiT was given.</p>
<p class="card-text">7th March, 2020
<small class="text-muted"></small></p>
<a class="btn btn-dark card-text text-light" href="https://github.com/smlra-kjsce/DL-in-NLP-101" role="button" target="_blank">View on GitHub <i class="fab fa-github fa-1x"> </i></a>
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<br>
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<img class="card-img-top" src="./Images/Events/ML-Cyber.jpeg" alt="Card image cap">
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<h5 class="card-title">Industry Session on “Machine Learning in Cybersecurity”</h5>
<p class="card-text" style="text-align:justify">This industrial session was held by SMLRA for Network Intelligence (NIIC), Mumbai. In this session, we presented the applications of Machine Learning in the Cybersecurity field to help the company tackle their daily challenges in a more automated fashion.</p>
<p class="card-text">11th December, 2019
<small class="text-muted"></small></p>
<a class=" card-text btn btn-dark text-light" href="https://github.com/smlra-kjsce/Cyber-ML-DL-101" role="button" target="_blank">View on GitHub <i class="fab fa-github fa-1x"> </i></a>
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<div class="card">
<img class="card-img-top" src="./Images/Events/GANs.jpg" alt="Card image cap">
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<h5 class="card-title">Introduction to Generative Architectures: GANs and VAEs</h5>
<p class="card-text" style="text-align:justify">In this session, we explored Game Theory, Generative Models and explored GANs and VAEs. The audience was later shown a demonstration of using WGANs for generating their own fake Pokémons!</p>
<p class="card-text">3rd-4th October, 2019
<small class="text-muted"></small></p>
<a class=" card-text btn btn-dark text-light" href="https://github.com/smlra-kjsce/Introduction-to-VAEs-and-GANs" role="button"target="_blank">View on GitHub <i class="fab fa-github fa-1x"> </i></a>
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<br>
<div class="card-deck">
<div class="card">
<img class="card-img-top" src="./Images/Events/mldl101.jpg" alt="Card image cap">
<div class="card-body">
<h5 class="card-title">ML-DL-101</h5>
<p class="card-text" style="text-align:justify">Introduction to Machine Learning and Deep Learning through algorithms like linear regression, logistic regression, SVMs, Decision Trees, Neural Networks, CNNs and FGSM Attack!</p>
<p class="card-text">7th September, 2019
<small class="text-muted"></small></p>
<a class=" card-text btn btn-dark text-light" href="https://github.com/smlra-kjsce/ML-101" role="button" target="_blank">View on GitHub <i class="fab fa-github fa-1x"> </i></a>
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<div class="card">
<img class="card-img-top" src="./Images/Events/resnet.jpg" alt="Card image cap">
<div class="card-body">
<h5 class="card-title" style="text-align:justify">Research Paper Analysis of ResNet: Deep Residual Learning for Image Recognition</h5>
<p class="card-text">In this paper reading session, we explored the ResNet research paper and saw the marvelous concept of Residual Learning that revolutionized the Computer Vision sector.</p>
<p class="card-text">3rd and 9th August, 2019
<small class="text-muted"></small></p>
<!-- <a class=" card-text btn btn-dark text-light href="#" role="button">View on GitHub</a> -->
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<img class="card-img-top" src="./Images/Events/rnn.png" alt="Card image cap">
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<h5 class="card-title">Implementation of Recurrent Neural Networks</h5>
<p class="card-text" style="text-align:justify">The speaker for this session was <a href="https://www.cse.iitb.ac.in/~kevin.patel/" target="_blank">Mr. Kevin Patel</a>, a Ph.D. scholar from IIT Bombay, working in Center for Indian Language Technology (CFILT), IIT Bombay, one of the finest research labs for NLP in India. Mr. Patel discussed PyTorch, a deep learning framework by Facebook, and why it is so research-friendly. The concept of Recurrent Neural Networks (RNNs) was explained in detail with practical demonstration. </p>
<p class="card-text">7th April, 2019
<small class="text-muted"></small></p>
<!-- <a class=" card-text btn btn-dark text-light href="#" role="button">View on GitHub</a> -->
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<div class="card">
<img class="card-img-top" src="./Images/Events/nlp.png" alt="Card image cap">
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<h5 class="card-title">Speaker session on “Introduction to Natural Language Processing”</h5>
<p class="card-text" style="text-align:justify">The speaker for our third spekaer session was <a href="https://www.cse.iitb.ac.in/~kevin.patel/" target="_blank">Mr. Kevin Patel</a>, a Ph.D. scholar from IIT Bombay, working in Center for Indian Language Technology (CFILT), IIT Bombay, one of the finest research labs for NLP in India. Mr. Patel covered various details pertaining to natural language processing from sentiment analysis to text summarisation and chatbots. Topics like geographic profiling, SkipGram model, greedy unsupervised pre-training, and model explainability were also covered. </p>
<p class="card-text">26th February, 2019
<small class="text-muted"></small></p>
<!-- <a class=" card-text btn btn-dark text-light href="#" role="button">View on GitHub</a> -->
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<br>
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<div class="card">
<img class="card-img-top" src="./Images/Events/rishabh.jpg" alt="Card image cap">
<div class="card-body">
<h5 class="card-title">Research paper demonstration on “3D Human Pose Estimation Using Videos”</h5>
<p class="card-text" style="text-align:justify">The speaker for the second SMLRA speaker session was <a href="https://www.cse.iitb.ac.in/~rdabral/" target="_blank">Mr. Rishabh Dabral</a>, a Ph.D. scholar from IIT Bombay. Mr. Dabral presented his research paper that mentions a novel technique for 3D human pose estimation, which was selected for the European Conference on Computer Vision (ECCV 2018). </p>
<p class="card-text">20th October, 2018
<small class="text-muted"></small></p>
<!-- <a class=" card-text btn btn-dark text-light href="#" role="button">View on GitHub</a> -->
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<div class="card">
<img class="card-img-top" src="./Images/Events/alexnet.png" alt="Card image cap">
<div class="card-body">
<h5 class="card-title">Seminar on “AlexNet: Introduction to CNN”</h5>
<p class="card-text" style="text-align:justify"> The first SMLRA speaker session. The speaker for this session was <a href="https://deepai.org/profile/rohan-mahadev" target="_blank">Mr. Rohan Mahadev</a> from AiToeLabs, Mumbai with its headquarters in Seattle, USA. The speaker went through the research paper along with its implementation, explained rudimentary concepts and helped developed foundation for the understanding of the AlexNet architecture and its application in Computer Vision. Detailed analysis of the AlexNet paper with implementation details was performed.</p>
<p class="card-text">22nd September, 2018
<small class="text-muted"></small></p>
<!-- <a class=" card-text btn btn-dark text-light href="#" role="button">View on GitHub</a> -->
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