kandapva

Kandappan V A's starred repositories

coprthr

The CO-PRocessing THReads (COPRTHR) SDK - latest release is v1.6.2 (Freewill)

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pdfs

Technically-oriented PDF Collection (Papers, Specs, Decks, Manuals, etc)

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OptML_course

EPFL Course - Optimization for Machine Learning - CS-439

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DeepLearningProject

An in-depth machine learning tutorial introducing readers to a whole machine learning pipeline from scratch.

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GraphNeuralNetwork

Implementation and experiments of graph neural netwokrs, like gcn,graphsage,gat,etc.

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half

IEEE 754 16-bit Float

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cme213-spring-2021

CME 213 Spring 2021

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Isaac4

Isaac aligner version 4

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PythonNumericalDemos

Well-documented Python demonstrations for spatial data analytics, geostatistical and machine learning to support my courses.

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keras-gcn

Keras implementation of Graph Convolutional Networks

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machine-learning-cheat-sheet

Classical equations and diagrams in machine learning

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SA-PINNs

Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" [AAAI-MLPS 2021]

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EvolveGCN

Code for EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs

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annotated_latex_equations

Examples of how to create colorful, annotated equations in Latex using Tikz.

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h2o-tutorials

Tutorials and training material for the H2O Machine Learning Platform

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PlutoTeachingTools.jl

Functions useful when using Pluto in teaching.

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DeepOD

Deep learning-based outlier/anomaly detection

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18336

18.336 - Fast Methods for Partial Differential and Integral Equations

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tutorials

Tutorials on deep learning, Python, and dissipative particle dynamics

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PINNs-TF2.0

TensorFlow 2.0 implementation of Maziar Raissi's Physics Informed Neural Networks (PINNs).

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gcn

Implementation of Graph Convolutional Networks in TensorFlow

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cs229-2018-autumn

All notes and materials for the CS229: Machine Learning course by Stanford University

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The-Art-of-Linear-Algebra

Graphic notes on Gilbert Strang's "Linear Algebra for Everyone"

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astroML

Machine learning, statistics, and data mining for astronomy and astrophysics

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awesome-open-science-software

awesome open list of pointers about open science for software and computational science

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scikit-learn-mooc

Machine learning in Python with scikit-learn MOOC

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sciann

Deep learning for Engineers - Physics Informed Deep Learning

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fable

Tidy time series forecasting

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Tensorboard2Seaborn

Plot Tensorflow Summary Event in a Beautiful Way 🌈

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Decision-Making-Under-Uncertainty

Decision making under uncertainty using the POMDPs.jl ecosystem taught by Robert Moss

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