prakhargurawa Goto Github PK
Name: Prakhar Gurawa
Type: User
Company: KPMG
Bio: Data Scientist @ KPMG Applied Intelligence, Dublin, Ireland | Learner
Twitter: prakhargurawa
Location: Dublin
Name: Prakhar Gurawa
Type: User
Company: KPMG
Bio: Data Scientist @ KPMG Applied Intelligence, Dublin, Ireland | Learner
Twitter: prakhargurawa
Location: Dublin
Lab files for AI-102 - AI Engineer
The Abstraction and Reasoning Corpus
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.
:beers: awesome cheatsheet
A curated list of awesome frameworks, libraries and software for the Java programming language.
Awesome Machine learning Deep learning Deployment
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.
A list of back-end related questions you can be inspired from to interview potential candidates, test yourself or completely ignore
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
CRM website using Java framework Spring (MVC) and Hibernate ORM attached with SQL database.
CUDA programming practice
Carefully curated resource links for data science in one place
Visualization of some real-life dataset using different methodology using GGPlot (R)
This is a repository of a topic-centric public data sources in high quality for Recommender Systems (RS)
Source code from Udemy course Deep Learning A-Z By Kirill Eremenko and Hadelin de Ponteves
In this repository, I will share some useful notes and references about deploying deep learning-based models in production.
Trying to learn deep learning in a more practical manner /focusing more on how to implement things and the core concepts on deep learning.
Hands-on Deep Reinforcement Learning, published by Packt
A posting forum using django
DRAMSim2: A cycle accurate DRAM simulator
Python application to assist drivers to alert when they feel drowsy and thus reduce the number of accidents.
Utilizing graphical neural networks and embeddings on a medical database KEGG to perform link predictions and drug similarity systems.
Facial emotion detection using CNN
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
Feature selection is performed using genetic algorithm to make a robust predictive model on the Boston dataset.
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.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.