Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristi…

Subranjit's minimalist landing page

Twilight is a python package to work with text data efficiently. It's a no-code tool to quickly understand any text-based document and it provides an intuitive UI to explore insights from text.

Mapping a variable-length sentence to a fixed-length vector using BERT model

A practical and feature-rich paraphrasing framework to augment human intents in text form to build robust NLU models for conversational engines.

Minimal keyword extraction with BERT

This repo contains basic code and explanation for text classification using Deep Learning techniques

Set of scripts to build a chatbot which will answer based on the FAQs supplied.

💬 Open source library for natural language understanding and machine learning-based dialogue management. - All things around intent classification, entity extraction and action predictions - DIY NL…

Analytics Vidhya Hikeathon

A library for transfer learning by reusing parts of TensorFlow models.

Data Science Using Python

Google Colab (Jupyter) notebook to retrain Object Detection Tensorflow model with custom dataset.

Open Source Fast Scalable Machine Learning Platform For Smarter Applications (Deep Learning, Gradient Boosting, Random Forest, Generalized Linear Modeling (Logistic Regression, Elastic Net), K-Mean…

Open Machine Learning Course mlcourse.ai

Deep NLP Course

Source code for 'Monetizing Machine Learning' by Manuel Amunategui and Mehdi Roopaei

IdenProf dataset is a collection of images of identifiable professionals. It is been collected to enable the development of AI systems that can serve by identifying people and the nature of their j…

📄 Awesome CV is LaTeX template for your outstanding job application

Content for Udacity's Machine Learning curriculum

Exploratory Data Analysis ; Deep Learning 3;

The fast.ai deep learning library, lessons, and tutorials

Example notebooks that show how to apply machine learning and deep learning in Amazon SageMaker

Predicting insurance chances of the applicant based on relevant features

Used the pharmaceutical data sponsored by RxRefund to determine the most effective AWP price for a product.

TDSP: Data science project template repository with standardized directory structure and document templates to support efficient project execution and collaboration.

This is a machine learning challenge conducted by C&D Labs and Future Group in association with HackerEarth.