Name: Abhinav Gairola
Type: User
Bio: Engineer/ Mathematics enthusiast. Interested in Stochastic process, Non-Markovian processes, Machine Learning, Feature Engineering and New Algorithms.
Location: Centreville, Virginia
Abhinav Gairola's Projects
Public material for CS109
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
A Code-First Introduction to NLP course
The fastai book, published as Jupyter Notebooks
Construct a structured DataFrame from the Reuters news corpus
109,110 news from Reuters.
Script for GoogleNews
ML has an impact on the climate. But not all models are born equal. Compute your model's emissions with our calculator and add the results to your paper with our generated latex template
LEMOS (University of Rostock) addons for OpenFOAM-2.4.x
Machine Learning in Finance: From Theory to Practice Book
Mirror of https://gitlab.nektar.info/nektar/nektar
Uncertainty treatment library
Web site of the Computational Optimal Transport book
Simulation framework
Machine Learning with Text in scikit-learn
If Google News had a Python library
Best Practices on Recommendation Systems
Stochastic Gradient Riemannian Langevin Dynamics
markdown presentation app by Electron