vikashranjan Goto Github PK

fundamentals-of-deep-learning-book

Code companion to the O'Reilly "Fundamentals of Deep Learning" book

gc_safety

geowave

GeoWave provides geospatial and temporal indexing on top of Accumulo and HBase

go-bot

go-datadog-api

A Go implementation of the Datadog API.

gradient-boosting

Simple gradient boosting tree implementation in julia

graph-networks

A list of interesting graph neural networks (GNN) links with a primary interest in recommendations and tensorflow that is continually updated and refined

graphhopper-gf

Fast routing library and server using OpenStreetMap. #route #planner

grbl

An open source, embedded, high performance g-code-parser and CNC milling controller written in optimized C that will run on a straight Arduino

hand-written-text

hardware

indicnlp_catalog

A collaborative catalog of resources for Indian language NLP

invio

Indoor navigation for LinuxTag 2014

isolation-forest

Julia implementation for the Extended Isolation Forest

itsabot

ItsAbot makes it easy and fun to build your own digital assistant, and we include everything you need to get started.

java-sdk

:mortar_board: Java SDK to use the IBM Watson services. It supports Android.

jlsimplex

Proof-of-concept implementation of the (dual) simplex algorithm for linear programming in Julia.

juliaconindia2015

kalmanfilter

This is a Kalman filter used to calculate the angle, rate and bias from from the input of accelerometer and a gyroscope

lab

A customisable 3D platform for agent-based AI research

livingrobots

A public repository for the new eBook: "Living Robots with EV3"

lsd-slam-android

LSD SLAM for ANDROID including source files.

m-explore

ROS packages for multi robot exploration

mask_rcnn

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

minimu-9-ahrs-arduino

Arduino program for building an AHRS with a Pololu MinIMU-9

minimu9-ahrs

Program for reading data from the Pololu MinIMU-9 over I²C. Works on the Raspberry Pi and probably other embedded ARM Linux boards.

ml-from-scratch

ML Algorithms from scratch in Julia

ml-from-scratch-1

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

mlds2020_notebooks

Some Notebooks used in the MLDS 2020 workshop

models

Models and examples built with TensorFlow