This repository contains the implementation of Shared Attention for Multi-label Zero-shot Learning.
This repository contains the code for ACL2020 paper: The Summary Loop: Learning to Write Abstractive Summaries Without Examples.
Package pyVHR (short for Python framework for Virtual Heart Rate) is a comprehensive framework for studying methods of pulse rate estimation relying on remote photoplethysmography (rPPG).
JupyterLite is a JupyterLab distribution that runs entirely in the browser built from the ground-up using JupyterLab components and extensions.
Official PyTorch implementation of Learning Hierarchical Discrete Linguistic Units from Visually-Grounded Speech
This Jupyter notebook shows one way to implement a simple first-order low-pass filter on sampled data in discrete time.
a python package that generates explainable Machine Learning predictions from the so-called 'black-box model' such as random forest
iminuit is a Jupyter-friendly Python interface for the Minuit2 C++ library maintained by CERN's ROOT team.
exploratory data analysis and build powerful data and viz tools within the domain of Chemistry using Python and HoloViz Panel.
Data Science and Machine Learning project analyzing programming languages from 2004 to 2021 obtained from the following Kaggle dataset.
A two-way integration between Vim and Jupyter. Develop code on a Jupyter notebooke without leaving the terminal.
Weather analysis and travel recommendation with maps and directions of +600 cities around the World.
Python 3 code for my new book series Probabilistic Machine Learning. This is work in progress, so expect rough edges. Getting less rough...
Kats is a toolkit to analyze time series data, a lightweight, easy-to-use, and generalizable framework to perform time series analysis.
Read Like Humans: Autonomous, Bidirectional and Iterative Language Modeling for Scene Text Recognition
UmlsBERT: Clinical Domain Knowledge Augmentation of Contextual Embeddings Using the Unified Medical Language System Metathesaurus
The NL-Augmenter is a collaborative effort intended to add transformations of datasets dealing with natural language.