Ayan Acharya (aacharya-cs)

aacharya-cs

Geek Repo

Company:LinkedIn Inc

Location:ayacharya@linkedin.com

Home Page:ayacharya@linkedin.com

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Ayan Acharya's repositories

awesome-causality-algorithms

An index of algorithms for learning causality with data

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NPFM

Nonparametric Poisson Factorization Machine

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aacharya-cs.github.io

Build a Jekyll blog in minutes, without touching the command line.

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ann-presentation

Various gfx for a presentation at NYC ML meetup

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caffe

Caffe: a fast open framework for deep learning.

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coronadatascraper

A scraper that pulls coronavirus case data from verified sources.

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COVID-19

Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE

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CurveFit

Generic curve fitting package with nonlinear mixed effects model

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docs

TensorFlow documentation

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euler

A distributed graph deep learning framework.

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GAT

Graph Attention Networks (https://arxiv.org/abs/1710.10903)

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graphical-gan

source code of the paper Graphical Generative Adversarial Networks

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GraphSAGE

Representation learning on large graphs using stochastic graph convolutions.

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hgaprec

Algorithms for Bayesian Poisson factorization

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LoRA

Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"

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P-GNN

Position-aware Graph Neural Networks

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pyGAT

Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)

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pytorch-normalizing-flows

Normalizing flows in PyTorch. Current intended use is education not production.

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pytorch_geometric

Geometric Deep Learning Extension Library for PyTorch

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qlora

QLoRA: Efficient Finetuning of Quantized LLMs

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reading-lists

select papers from top tier ML conferences

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skills-github-pages

My clone repository

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tensorflow-mnist-VAE

Tensorflow implementation of variational auto-encoder for MNIST

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tensorspace

Neural network 3D visualization framework, build interactive and intuitive model in browsers, support pre-trained deep learning models from TensorFlow, Keras, TensorFlow.js

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tikz-bayesnet

TikZ library for drawing Bayesian networks, graphical models and (directed) factor graphs in LaTeX.

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uis-rnn

This is the library for the Unbounded Interleaved-State Recurrent Neural Network (UIS-RNN) algorithm, corresponding to the paper Fully Supervised Speaker Diarization.

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