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abhishekdbihani
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Python-centered read-along of Forecasting: Principles and Practice
Interactive roadmaps, guides and other educational content to help developers grow in their careers.
This repository contains the workflow for creating a bidisperse grain pack and running a uniaxial compaction test on it using LIGGGHTS. Scripts for post-processing (calculating, plotting and visual…
Links to works on deep learning algorithms for physics problems, TUM-I15 and beyond
Code development for CPSC survey data analysis
Reimplementation of RETAIN Recurrent Neural Network in Keras
RETAIN: Interpretable Predictive Model in Healthcare using Reverse Time Attention Mechanism
Learn how to design, develop, deploy and iterate on production-grade ML applications.
official release of the LIGGGHTS® DEM software by DCS Computing. For further info, forums, and bug reports, please visit http:https://www.cfdem.com. For the DEM software Aspherix® by DCS Computing that r…
Parallel Computing and Scientific Machine Learning (SciML): Methods and Applications (MIT 18.337J/6.338J)
Python Simulation Tool for Fractured and Deformable Porous Media
Hard-sphere packing generation in C++ with the Lubachevsky–Stillinger, Jodrey–Tory, and force-biased algorithms and packing post-processing.
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
An open-source, low-code machine learning library in Python
AWS Certified Machine Learning - Specialty (MLS-C01)
Fit interpretable models. Explain blackbox machine learning.
A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems"
Track emissions from Compute and recommend ways to reduce their impact on the environment.
Python notebooks with ML and deep learning examples with Azure Machine Learning Python SDK | Microsoft
Machine Learning Simplified: From Ideation to Deployment in Minutes with Automated Machine Learning
The project provides a complete end-to-end workflow for building a binary classifier in Python to recognize the risk of housing loan default. It includes methods like automated feature engineering …
Homepage for STAT 157 at UC Berkeley
Examples of single-cell genomic analysis accelerated with RAPIDS