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Name: BHASKAR CHATTERJEE
Type: User
Name: BHASKAR CHATTERJEE
Type: User
Answers to 120 commonly asked data science interview questions.
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 Automotives, Retail, Pharma, Medicine, Healthcare by Tarry Singh until at-least 2020 until he finishes his Ph.D. (which might end up being inter-stellar cosmic networks! Who knows! π)
A curated list of awesome Deep Learning for Natural Language Processing resources
A curated list of awesome Machine Learning frameworks, libraries and software.
:book: A curated list of resources dedicated to Natural Language Processing (NLP)
Recurrent Neural Network - A curated list of resources dedicated to RNN
CNN in Java
In-Browser Algorithm and Data Structure Interview Prep
Deep Active Learning
List of resources to get started with Deep Learning for NLP.
Deep Learning for NLP resources
A library for efficient similarity search and clustering of dense vectors.
Jupyter metapackage for installation, docs and chat
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from data mining to deep learning.
Notes on machine learning and artificial intelligence.
YSDA course in Natural Language Processing
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
Papers with code. Sorted by stars. Updated weekly.
A library for encrypted, privacy preserving deep learning
A collection of design patterns/idioms in Python
Python Data Science Handbook: full text in Jupyter Notebooks
πThe Big-&-Extending-Repository-of-Transformers: Pretrained PyTorch models for Google's BERT, OpenAI GPT & GPT-2, Google/CMU Transformer-XL.
This project lets you summarize any wikipedia page locally with LLM's of your choice and also allows you to ask questions on those pages extracted from wikipedia
A fuzzy (supermarket) receipt parser written in Python using tesseract
This repository provides state of the art (SoTA) results for all machine learning problems. We do our best to keep this repository up to date. If you do find a problem's SoTA result is out of date or missing, please raise this as an issue or submit Google form (with this information: research paper name, dataset, metric, source code and year). We will fix it immediately.
Implementation of papers for text classification task on DBpedia
all kinds of text classificaiton models and more with deep learning
A declarative, efficient, and flexible JavaScript library for building user interfaces.
π 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. πππ
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 β€οΈ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.