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Mohd Naved's Projects

awesome-quant icon awesome-quant

A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)

countingpeople icon countingpeople

This is about getting live feeds from Cam, and counting peoples in different areas in office.

deepforecasting icon deepforecasting

Stock Market Decision Support System using Deep Learning & Sentiment Analysis

deepforecasting-plus icon deepforecasting-plus

A friendly web user interface including visualized plots and informative reports for Deepforecasting project

ebroker icon ebroker

Stock market time series forcast (benchmark MA vs RNN) and prediction of crisis period by time series pattern recognition with CNN

emd icon emd

Empirical Mode Decomposition

homemade-machine-learning icon homemade-machine-learning

🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

imageai icon imageai

A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities

keras-yolo2 icon keras-yolo2

Easy training on custom dataset. Various backends (MobileNet and SqueezeNet) supported. A YOLO demo to detect raccoon run entirely in brower is accessible at https://git.io/vF7vI (not on Windows).

pconv-keras icon pconv-keras

Unofficial implementation of "Image Inpainting for Irregular Holes Using Partial Convolutions". Try at: www.fixmyphoto.ai

pyaf icon pyaf

PyAF is an Open Source Python library for Automatic Time Series Forecasting built on top of popular pydata modules.

pyemd icon pyemd

Python implementation of Empirical Mode Decompoisition (EMD) method

pyssa icon pyssa

Singular Spectrum Analysis for time series forecasting in Python

pystocklib icon pystocklib

Python package for Stock Market analysis. (Historical Data, News analysis, EMD, etc..)

sc-fegan icon sc-fegan

SC-FEGAN : Face Editing Generative Adversarial Network with User's Sketch and Color

stock-price-forecasting icon stock-price-forecasting

This is my project to forecast close price of stock market based on LSTM. I use yahoo api for getting stock data and develop forcasting model based on Keras on Python 3. The result of this model isn't good enougth but this is the case study about how to use deep learning to analyze time series data.

stocknn icon stocknn

Stock Market Prediction Using Neural Network Models (Backpropagation, RNN LSTM, RBF) using keras with Tensorflow backend

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