Pinned Repositories
koi8-r's Repositories
koi8-r/ipl-config
koi8-r/vhd-tool
koi8-r/1--container
koi8-r/aimdu
koi8-r/bodylog
koi8-r/chatip
DevOp | Print user sessions meta (IP address) using Openfire REST API | glob support (admin*r)
koi8-r/firefox-sandbox
koi8-r/gym-trading
Environment for reinforcement-learning algorithmic trading models
koi8-r/http-inspect
koi8-r/httpie-ipl-sign
koi8-r/I-S00N
koi8-r/impacket
Impacket is a collection of Python classes for working with network protocols.
koi8-r/ipapp
koi8-r/jq.py
Python bindings for jq
koi8-r/jshwinfo
koi8-r/mgz-salt
koi8-r/ML
koi8-r/mongo-kafka
MongoDB Kafka Connector
koi8-r/oz-info-bot
Telegram bot to scan WWW and notify about results
koi8-r/pcapreplay
koi8-r/pybxb
koi8-r/pyipdb
Collect IP+Excel
koi8-r/pysamba
koi8-r/sls-repo
SaltStack repo
koi8-r/stockpredictionai
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.
koi8-r/timescaledb
An open-source time-series SQL database optimized for fast ingest and complex queries. Packaged as a PostgreSQL extension.
koi8-r/tinkoff-invest-dumper
Saves orderbook/candles streams to JSON-file for ML purposes
koi8-r/tomd
koi8-r/tyx
koi8-r/vuelab