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abydos

alyn

Detect and fix skew in images containing text

awesome-computer-vision

A curated list of awesome computer vision resources

awesome-production-machine-learning

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

aws-private-file-sharing-tool

azure-docs

Open source documentation of Microsoft Azure

azure-enterprise-scale-ml

Enterprise Scale ML (esml) - on Azure

azure-samples-python-management

This repo contains sample code for management libraries of Azure SDK for Python

azuredevops-self-service-project-creation

Governance: how to manage the creation of new project as a self-service

azuremonitorcommunity

An open repo for Azure Monitor queries, workbooks, alerts and more

bayesian_changepoint_detection

Methods to get the probability of a changepoint in a time series.

bitcoin-trading-models

Visual representation of trades made using n day moving average on historical bitcoin price data. Integration also provided for stocks.

bitcoin_prophet

A predictive model that can forecast bitcoin's price range up to n days in the future.

bitcoinforecast

Predict bitcoin price with deep learning

btc_dash

Bitcoin Price Prediction Modeling and Dashboard

cartodb

Location Intelligence & Data Visualization tool

cnn-relation-extraction

Tensorflow Implementation of Convolutional Neural Network for Relation Extraction

cnn_lstm_ctc_tensorflow

CNN+LSTM+CTC based OCR implemented using tensorflow.

crnn-mxnet-chinese-text-recognition

An implementation of CRNN (CNN+LSTM+warpCTC) on MxNet for chinese text recognition

django-nginx-reactjs-docker

Tutorial integrating django, reactjs, nginx and docker

drf-blog-api

Blog API with Django Rest Framework

dts

A Keras library for multi-step time-series forecasting.

finance-and-stocks

gcforest

Python implementation of deep forest method : gcForest

lstm-neural-network-for-time-series-prediction

LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data

maskrcnn-benchmark

Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.

mlflow_test

mlops

MLOps examples

modelling-of-bitcoin-price-prediction-using-deep-learning

Forecasting the future has always been a difficult task. The importance of predicting the future has been getting a primary role in the field of computer science and information technology. Developing several algorithms and building it to forecast future events has been paid a significant amount of atention since the past decade. Here, we use one of the latest and most advanced technologies i.e. Deep Learning. The main aim of this project is to showcase how a trained machine model can forecast the future fluctuations in the rise of cryptocurrencies like bitcoin. It shows how a trained machine model can give the price of a cryptocurrency like bitcoin if we give the right amount of data and sufficient computational power. What we expect as the ouput is a graph with the predicted values. The most popular and widely used technology is the kind of technological solution that could help the humankind to predict the future events. Here, we collect the previous values of bitcoin from various bitcoin exchanges. So, with the vast amount of data generated, we segregate the values and try to forecast the bitcoin prices in the form of a graph. We use Recurrent Neural Networks(RNN) for this deep learning methodology. This can be achieved by using several machine learning techniques and methodologies.

modern-devops-django-sample

The source code for the "Modern DevOps with Django" post