aacharya-cs Goto Github PK

aacharya-cs.github.io

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

ann-presentation

Various gfx for a presentation at NYC ML meetup

awesome-causality-algorithms

An index of algorithms for learning causality with data

blogs

caffe

Caffe: a fast open framework for deep learning.

char-rnn

Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch

collectannotation

coronadatascraper

A scraper that pulls coronavirus case data from verified sources.

covid-19

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

curvefit

Generic curve fitting package with nonlinear mixed effects model

d3

A JavaScript visualization library for HTML and SVG.

d3projeccts

d3projects

docs

TensorFlow documentation

dslda2

Doubly Supervised Latent Dirichlet Allocation

dslda_npdslda

dsur

Discovering Statistics Using R

eigenmvn

C++11 multivariate normal distribution sampling using Eigen matrices

euler

A distributed graph deep learning framework.

gat

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

gpdpfa

graphical-gan

source code of the paper Graphical Generative Adversarial Networks

graphsage

Representation learning on large graphs using stochastic graph convolutions.

hgaprec

Algorithms for Bayesian Poisson factorization

hw

nothing

iir

Machine Learning / Natural Language Processing / Information Retrieval

jgppf

jointmodel

json-js

JSON in JavaScript

launcher

A simple utility for executing multiple sequential or multi-threaded applications in a single multi-node batch job