sarveshj

Traffic_sign_recognition

Recognize traffic sign using Histogram of Oriented Gradients (HOG) and Colorspace based features. Support Vector Machines (SVM) is used for classifying images.

Cerebellar-model-articulation-controller-weighted-regression

Cerebellar Motion articulator controller is a type of neural network based on a model of mamallian cerebellum. It is a type of associative memory and was proposed by James Albus in 1975. In this code, CMAC is used to demonstrate weighted regression.

Sierpinski-gasket

Sierpinski gasket, is a fractal with the overall shape of an equilateral triangle, subdivided recursively into smaller equilateral triangles.

caffe

Caffe: a fast open framework for deep learning.

compute-power

Compute power of one number raised to another

Linux-Hacks

Tips and Tricks for Linux ecosystem

Longest-Subsequence-Alphabetical-Order

program that prints the longest substring in which the letters occur in alphabetical order

sieve_of_eratosthenes

Sieve of Eratosthenens to compute prime number upto a given upper limit

cpp-switch-case-demo

Switch case demo

data.gov

Data.gov source code and issue tracker

Digit-Recogntion-MNIST-SVHN

Digit Recognition Using Tensorflow with optional Keras front end for MNIST and Google Street View House Number Dataset

DSaPP_RA_Project

This repository includes an exercise for aspiring DSaPP volunteers and research assistants to complete

github-example

go

The Go programming language

googletest

Google Test

GPLv3.md

GPLv3 in Markdown.

hdp

Hierarchical Dirichlet processes. Topic models where the data determine the number of topics. This implements Gibbs sampling.

keras-applications

Reference implementations of popular deep learning models.

MNIST_Exploration

Non-maximal-suppression-evolution

puzzles-in-probability

Exploration of Puzzles and trick problems in probability using Python

requests-for-research

A living collection of deep learning problems

sample

playing_around

scikit-learn

scikit-learn: machine learning in Python

stanford_dl_ex

Programming exercises for the Stanford Unsupervised Feature Learning and Deep Learning Tutorial

stroke-width-transform-text-detection

Text detection in Images using Stroke width transform

StrokeWidthTransform

A playground implementing Epshtein, Ofek, and Wexler's Stroke Width Transform

YOLO-tensorflow-keras-implementation