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aideveloper

GUI-based software for training, evaluating and applying deep neural nets for image classification

ams-automated-home-system

System for utilizing data from the new electrical meters in Norway

amstomqttbridge

Minimalistic system to read AMS/HAN data from electrical meter

amstomqttbridge-1

Minimalistic system to read AMS/HAN data from electrical meter

armstrong

armstrongii

Here goes the Description

clairvoyant

Software designed to identify and monitor social/historical cues for short term stock movement

deep-sort-yolov4

People detection and optional tracking with Tensorflow backend.

document-image-classification-with-intra-domain-transfer-learning-and-stacked-generalization-of-deep

RVL-CDIP could be looked at as the equivalent of ImageNet for the document image community. It’s certainly the largest we’ve seen in the literature. There are 400,000 total document images in the dataset. The dataset contains much noise and variance in composition of each document class. Uncompressed, the dataset size is ~100GB, and comprises 16 classes of document types, with 25,000 samples per classes. Example classes include email, resume, and invoice. Achieved an Accuracy of over 93% which beat the benchmark score of 92% based on https://paperswithcode.com/sota/document-image-classification-on-rvl-cdip

documentarist

Process Caltech Archives' digital documents and photos, and annotate each page or image with information about its contents

empyrical

Common financial risk and performance metrics. Used by zipline and pyfolio.

getoldtweets-python

A project written in Python to get old tweets, it bypass some limitations of Twitter Official API.

hackthenorth-won-bloomberg-s-fintech-hack-challenge

Three machine/deep learning models were developed in this hack: An LSTM RNN to predict the stock movements - A web crawler that uses sentiment analysis on returned articles - A classification model trained to differentiate between news headlines

intraday-data-puller

This code pulls 1-minute snapshot data for NSE-CASH stocks and saves them in their respective files .The data is pulled in d,c,h,l,o,v format and converted to date,time,o,h,l,c,v format

keras-yolo3

A Keras implementation of YOLOv3 (Tensorflow backend)

mcfly

A deep learning tool for time series classification

multi-camera-live-object-tracking

Multi-camera live traffic and object counting with YOLO v4, Deep SORT, and Flask.

mxnet-the-straight-dope

An interactive book on deep learning. Much easy, so MXNet. Wow.

python-webinar

Webinar slides and notebook

risk-premia-app

Simple Risk Premia Strategy

robot_wealth

Work from Robot Wealth bootcamp on FX

stockforecast

Predicts the stocks using historical data + Twitter sentiment + Yahoo News + Technical Analysis

studio

GUI for Keras and TensorFlow with integrated hyperparameter optimization and NLP

trading-strategy-backtest

Backtesting of different trading strategies by applying different Modern Portfolio Theory (MPT) approaches on long-only ETFs portfolios in Python.