madan-ram Goto Github PK

artificial-neural-network

Some of the most successful deep learning methods involve artificial neural networks. Artificial neural networks are inspired by the 1959 biological model proposed by Nobel laureates David H. Hubel & Torsten Wiesel, who found two types of cells in the primary visual cortex: simple cells and complex cells. Deep learning (deep structured learning or hierarchical learning) is a branch of machine learning based on a set of algorithms that attempt to model high-level abstractions in data by using model architectures. cs231n.github.io, theano tutorial and ufldl.stanford.edu has a reference.

backgrid

Finally, an easily stylable semantic HTML data grid widget with a Javascript API that doesn't suck.

caffe

Caffe: a fast open framework for deep learning.

cloudstorage

Unified cloud storage API for storage services.

code_and_command

it is temporary directory having code files and commands.

coding_solution

regular coding problem and solution

creating-a-pipeline-in-blue-ocean

For an introductory tutorial on how to use the Blue Ocean feature of Jenkins to create a Pipeline that builds an application.

cutie

Convolutional Universal Text Information Extrator

darknet

Convolutional Neural Networks

detr

End-to-End Object Detection with Transformers

detr-tensorflow

Tensorflow implementation of DETR : Object Detection with Transformers

drawflow

Simple flow library 🖥️🖱️

facebook-app

An facebook app to generate ticket for tech-talk organized by PLUG(PES free software community), In PESIT-BSC.

fasttext-server

Flask web server to serve supervised models trained with FastText.

fasttext-serving

fastText model serving service

flowy

The minimal javascript library to create flowcharts ✨

goal-oriented-action-planning

Goal oriented action planner(GOAP) is AI program which can be driven by max scoring, this algorithm works on exploring potential plans to maximize score and choses the action according to plan. check out the src directory for planner, this capability was tested on MIT-Battle code 2017. I would like to welcome others to try and collaborate, I am open for helping.

image-segmentation-opencv

Implementation of the segmentation algorithm described in: Efficient Graph-Based Image Segmentation Pedro F. Felzenszwalb and Daniel P. Huttenlocher International Journal of Computer Vision, 59(2) September 2004.

label-studio-frontend

Data labeling react app that is backend agnostic and can be embedded into your applications — distributed as an NPM package

llama-recipes

Examples and recipes for Llama 2 model

machine-learning-application

TwitMiner Are you a social media addict? Are you a follower of celebrity pages and accounts? Are you interested in what’s happening around you? Does challenging problems set adrenalin racing through your veins? Then this is the right place to be in. The Computer Science and Automation department of Indian Institute of Science, Bangalore presents the first of its kind Machine Learning contest in India: Develop a prediction algorithm by learning from a collection of texts(tweets) hosted by Twitter.com.

madan-ram.github.io

models

Models and examples built with TensorFlow

ocr-using-swt

This project objective describes a device dedicated for blind or visually impaired people. The main aim of this system is to provide an automated image classifier to classify the languages. The challenge for such system is it should be a portable, low cost, able to recognize distorted images, multiple languages and efficient working in term of ability to recognize multiple size character. The two key technologies are necessary: text detection and language detection. A further improvement can also be done by integrating it with Google translator which can be used by visually impaired people . Even though several researches have been done in this area ,it has been observed that implementation of language detection is not yet done. So a multi language detector is required for India, Since India has several languages.

opencv

Open Source Computer Vision Library

pdftabextract

A set of tools for extracting tables from PDF files helping to do data mining on (OCR-processed) scanned documents.

photoaa

problem

reinforcement-learning

assignment in ‘Reinforcement Learning’ by Sutton and Barto

serve

Serve, optimize and scale PyTorch models in production