harrismohammed Goto Github PK

amazon-dsstne

Deep Scalable Sparse Tensor Network Engine (DSSTNE) is an Amazon developed library for building Deep Learning (DL) machine learning (ML) models

aws_one

First project using AWS Lex,Polly,DDB,Lambda,Rekognition

chatabot

cnn

Cats or dogs prediction

csc581

Graduate Machine Learning Course at the University of Rhode Island

deeoplearningtools

The Basics necessary to build Deep Learning Models

deep-high-resolution-net.pytorch

The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"

deep-learning

Repo for the Deep Learning Nanodegree Foundations program.

deep-learning-v2-pytorch

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

deephar

Deep human action recognition and pose estimation

documentation

Plotly's Documentation

donors-for-charity-ml-

Udacity Data Scientist Nanodegree

dsnd-flowers-top-k-predictions

dsnd_term1

Contains files related to content and project of DSND

eda---football-fifa-2019

eda-1

Exploratory Data Analysis

face-alignment

:fire: 2D and 3D Face alignment library build using pytorch

fashion-mnist

fuzzylogic

Fuzzy logic(5x5 matrix) using Incremental Conductance Mppt for tracking maximum solar panel power output for any given time of the day

github-demo

google-stock-prediction-complete-

Complete RNN based google stock prediction,with Parameter Tuning

gradient_descent

harrismohammed.github.io

identify-and-predict-frauds

fraud detection using Self Organizing Maps(SOM's) and using Neural Networks to predict the probablity of frauds

identify-customer-segmenents---udacity-dsnd

igdm

Desktop application for Instagram DMs

ijson

Iterative JSON parser with Pythonic interface

intent_classification

intent classification of given text message

kaggle_santander_2019

keras

Deep Learning for humans