lime-flutter

Lime client built using flutter

linear-regression-on-boston-housing-dataset

In this post, we are going to learn about implementing linear regression on Boston Housing dataset using scikit-learn.

loaddata-predictions

For this project we will be exploring publicly available data from LendingClub.com. Lending Club connects people who need money (borrowers) with people who have money (investors). Hopefully, as an investor you would want to invest in people who showed a profile of having a high probability of paying you back. We will try to create a model that will help predict this.

loginpass

Social connections powered by Authlib.

logodet

Neural Nets for logo detection

lstm_pose_machines

Code repo for "LSTM Pose Machines" (CVPR'18)

ludwig

Ludwig is a toolbox built on top of TensorFlow that allows to train and test deep learning models without the need to write code.

machinelearning

Udacity intro to machine learning course

magiccloak

mask_rcnn

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

matplotlib

The matplotlib package helps you make visually appealing representations of the data you’re working with. matplotlib is extremely flexible; these examples will help you get started with a few simple visualizations.

medical-prescription-ocr

Used for reading medical prescription and coverting it in digital form

medical-researcher-drug-prediction-project

Imagine that you are a medical researcher compiling data for a study. You have collected data about a set of patients, all of whom suffered from the same illness. During their course of treatment, each patient responded to one of 5 medications, Drug A, Drug B, Drug c, Drug x and y. Part of your job is to build a model to find out which drug might be appropriate for a future patient with the same illness. The feature sets of this dataset are Age, Sex, Blood Pressure, and Cholesterol of patients, and the target is the drug that each patient responded to. It is a sample of binary classifier, and you can use the training part of the dataset to build a decision tree, and then use it to predict the class of a unknown patient, or to prescribe it to a new patient

microprocessor

MicroProcessor -Lab programs

microservices-demo

Sample cloud-native application with 10 microservices showcasing Kubernetes, Istio, gRPC and OpenCensus. Provided for illustration and demo purposes.

mini-projects

MINI PROJECTS IN PYTHON 3.3

mit-deep-learning-book-pdf

MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville

ml-breast-cancer-classification

Technicians can use a microscope to observe tissue samples that were taken from patients who are suspected to have breast cancer. By looking at the size and shape of the nuclei present within these tissue samples, one can then predict whether a given sample appears to be cancerous. In this document I demonstrate an automated methodology to predict if a sample is benign or malignant given measurements of nuclear shape that were made from digital images of fine needle aspirates of breast tissue masses from clinical samples.

mmdetection_object_detection_demo

How to train an object detection model with mmdetection

models

Models and examples built with TensorFlow

modin

Modin: Speed up your Pandas workflows by changing a single line of code

movie-recommendation-project

mrinal-portfolio-hugo

Hugo: Portfolio

mrinalw.github.io

mrinalwalia

-Portfolio Website: Hugo

my-first-project

My first Computer Science Project

mynote-html5-app

My Note is a personal use app developed in html5 and CSS Styling

natural-language-processing

The Natural Language Toolkit, or more commonly NLTK, is a suite of libraries and programs for symbolic and statistical natural language processing for English written in the Python programming language

network-project-attacks

Various network attacks

nlp-architect

NLP Architect by Intel AI Lab: A Python library for exploring the state-of-the-art deep learning topologies and techniques for natural language processing and natural language understanding