maheshakya Goto Github PK

analytics-apim

annoy

Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk

apim_health_monitor

auditlog-service

carbon-identity

carbon-ml

carbon4-kernel

csympy

Fast symbolic manipulation library, written in C++

dashboard_with_cep-artifacts

dist-averaging-k-pca

This repository contains the source code of the experiments conducted in the paper "On Distributed Averaging for Stochastic k-PCA"

distclust_via_lsh_l2

This repository contains the experiments conducted in the paper: "Distributed Clustering via LSH Based Data Partitioning" (ICML 2018) with synthetic data. This implementation is not a distributed implementation. It is a single machine implementation intended to demonstrate the properties of this technique and approximation results.

e2componentsparentproject

gaknn

generative-adversarial-networks

Tutorial on GANs

governance

hbase-docker

HBase Dockerfile

hungergames

Hunger Games competition from Brilliant.org

improved_gsom

jekyll-bootstrap

The quickest way to start and publish your Jekyll powered blog. 100% compatible with GitHub pages.

jekyll-rss-feeds

Templates for rendering RSS feeds for your Jekyll blog

joshualande.github.io

The personal website of Joshua Lande

learning

Many things I learn.

maheshakya.github.io

My personal blog.

msf4j

WSO2 Microservices Framework for Java (MSF4J)

my_first_project

nearpy

Python framework for fast (approximated) nearest neighbour search in large, high-dimensional data sets using different locality-sensitive hashes.

old_posts

This contains my old posts markdown files.

orbit

performance_evaluations_ann

This repository contains the implementation of performance evaluations of existing Approximate nearest neighbor search methods.

poole

The Jekyll Butler.