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Name: Amit Kayal
Type: User
Company: Its me
Name: Amit Kayal
Type: User
Company: Its me
multi_task_NLP is a utility toolkit enabling NLP developers to easily train and infer a single model for multiple tasks.
Notes and codes on AI/ML topics
notebooks and scripts generated the fast.ai dl1 (2017) and dl2 (2018) courses
Code samples for my book "Neural Networks and Deep Learning"
Deep learning application to identify ingredients from cooking dishes images and recommend dishes to cook, given a set of ingredients. This application leverages NLP and Computer Vision to learn semantic knowledge using joint embeddings.
Entirety.ai Intuition to Implementation Meetup Content.
Papers, code and slides for my session at the live@manning NLP conference, 2020 covering my talk on Deep Transfer Learning for Natural Language Processing
An assignment for CMU CS11-711 Advanced NLP, building NLP systems from scratch
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
Streamlit App to Demo different ways to Augment NLP data using Transformer Pipelines
Tensorflow, Pytorch, Huggingface Transformer, Fastai, etc. tutorial Colab Notebooks.
Contains relevant notebooks for the hands-on NLP workshop for the Analytics India Magazine Plugin Conference -2020 Edition
Essential and Fundametal aspects of Natural Language Processing with hands-on examples and case-studies
State of the Art results in Intent Classification using Sematic Hashing for three datasets: AskUbuntu, Chatbot and WebApplication.
Text Preprocessing Package includes cleaning, tokenization, dataset preparation ...etc
Materials used in talks, webinars, meetups etc
Transformers for Natural Language Processing, published by Packt
Jupyter notebooks for the Natural Language Processing with Transformers book
Hands-on examples showcasing popular NLP applications
Contains all tutorials and hands-on examples for the ODSC 2019 Workshop
Extensive tutorials for the Advanced NLP Workshop in Open Data Science Conference Europe 2020. We will leverage machine learning, deep learning and deep transfer learning to learn and solve popular tasks using NLP including NER, Classification, Recommendation \ Information Retrieval, Summarization, Classification, Language Translation, Q&A and Topic Models.
Simple ChatBot introducing NLP and Machine Learning for Classification of Sentences
For Data Science Capstone
Python NLTK Jupyter Notebooks
Neural Networks: Zero to Hero
This is the code for "Node JS Machine Learning" By Siraj Raval on Youtube
Notebooks using the Hugging Face libraries 🤗
Jupyter Notebooks from the old UnsupervisedLearning.com (RIP) machine learning and statistics blog
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.