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I am too lazy to write a README. My apologies! Help yourselves to some good content below.
Collaboration opportunities? Contact me
Name: Dipanjan (DJ) Sarkar
Type: User
Bio: Data Science Lead, Google Dev Expert - ML, Author
Collaboration opportunities? Contact me
Extensive tutorials for the Advanced NLP Session in Open Data Science Conference APAC 2023. We will leverage deep transfer learning, notably transformers and LLMs like ChatGPT to solve popular tasks in NLP including Classification, Information Retrieval, Sentiment Analysis, Search Engines, Summarization, Language Translation, Q&A systems
Extensive tutorials for the Advanced NLP Workshop in Open Data Science Conference Europe 2020. We will leverage deep learning and deep transfer learning to solve popular tasks in NLP including Classification, Information Retrieval, Sentiment Analysis, Search Engines, Clustering, Paraphrase Mining, Summarization, Language Translation, Q&A systems
Extensive tutorials for the Advanced NLP Session in Open Data Science Conference Europe 2023. We will leverage deep transfer learning, notably transformers to solve popular tasks in NLP including Classification, Information Retrieval, Sentiment Analysis, Search Engines, Clustering, Paraphrase Mining, Summarization, Language Translation, Q&A systems
Contains materials for workshops pertaining to adversarial robustness in deep learning.
Contains the slides and hands-on tutorials showcasing adversarial learning on convolutional neural networks to build robust vision models
Content for Applied ML Workshop @ DataHack Summit 2019
The art of effective visualization of multi-dimensional data
A curated list of awesome Deep Learning tutorials, projects and communities.
A curated list of awesome Machine Learning frameworks, libraries and software.
A awesome list of (large-scale) public datasets on the Internet. (On-going collection)
A curated list of awesome Python frameworks, libraries and software.
Best transfer learning and domain adaptation resources (papers, tutorials, datasets, etc.)
This repository contains code files specifically IPython notebooks for the assignments in the course "Introduction to Big Data with Apache Spark" by UC Berkeley and Databricks on edX
This repository contains code files specifically IPython notebooks for the assignments in the course "Scalable Machine Learning" by UC Berkeley and Databricks on edX
The most popular front-end framework for developing responsive, mobile first projects on the web.
Contains presentation deck and notebooks showcasing fundamental concepts and hands-on examples for Convolutional Neural Networks
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
Code and resources for my blog and articles to share Data Science and AI knowledge and learnings with everyone
Slidify presentation for Coursera's Developing Data Products course project
This repo is specially created for all the work done my me as a part of Coursera's Data Science Specialization.
The Leek group guide to data sharing
Learn how to start using deep learning frameworks leveraging python, jupyter notebooks in the cloud using GPUs with a ready-reference guide
Contains the code and deck for the presentation on Applying Deep Transfer Learning for NLP in Analytics Vidhya's DataHack Summit 2019
This repository will contain all the exercises, tutorials and python jupyter notebooks for all the DeepLearning.AI courses on Generative AI, ChatGPT, LangChain, LLMs and more
This project successfully implements an encoder-decoder system where we can hide a secret image inside another image and retrieve it secretly later using the decoder only.
My website
Build a Jekyll blog in minutes, without touching the command line.
Will contain all the necessary code examples for the Duke Cloud Computing Specialization on Coursera
Plotting Assignment 1 for Exploratory Data Analysis
Slides, code and resources for model interpretation methods in machine learning and deep learning
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.