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Prakhar Gurawa's Projects

arc icon arc

The Abstraction and Reasoning Corpus

artificial-intelligence-deep-learning-machine-learning-tutorials icon artificial-intelligence-deep-learning-machine-learning-tutorials

A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Climate / Energy, Automotives, Retail, Pharma, Medicine, Healthcare, Policy, Ethics and more.

awesome-java icon awesome-java

A curated list of awesome frameworks, libraries and software for the Java programming language.

azure-search-openai-demo icon azure-search-openai-demo

A sample app for the Retrieval-Augmented Generation pattern running in Azure, using Azure Cognitive Search for retrieval and Azure OpenAI large language models to power ChatGPT-style and Q&A experiences.

buddies icon buddies

A social networking site created by using JSP,Adv.Java, HTML, CSS, AJAX, MySql with features likes sending a friend request, updating profile, posting on the wall, like, share, messaging friends, creating session. Core lang: Java

deep-learning-a-z icon deep-learning-a-z

Source code from Udemy course Deep Learning A-Z By Kirill Eremenko and Hadelin de Ponteves

deep-learning-in-production icon deep-learning-in-production

In this repository, I will share some useful notes and references about deploying deep learning-based models in production.

deep-learning-practice icon deep-learning-practice

Trying to learn deep learning in a more practical manner /focusing more on how to implement things and the core concepts on deep learning.

dramsim2 icon dramsim2

DRAMSim2: A cycle accurate DRAM simulator

facial-keypoint-detector icon facial-keypoint-detector

Creating a computer vision pipeline to create supervised deep learning architecture to build an end-to-end facial keypoint detection system that takes in any image with faces, and predicts the location of 68 distinguishing keypoints on each face

force-directed-graph-layout icon force-directed-graph-layout

An interesting application of gradient descent aims to stabilize any input graph such that the forces applied on each node are minimum and the overall model is stable. Visualization is perform using NetworkX.

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