Nikolay Stanchev's repositories
Asset-Backed-Security-Modeling
ScriptUni Python in Finance Certificate Final Project
backtrader
Python Backtesting library for trading strategies
BayesianOptimization
A Python implementation of global optimization with gaussian processes.
Customer-Loan-Application-and-Management-System
A web-based loan information system built in Codeigniter
explainerdashboard
Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.
fabric-samples
Samples for Hyperledger Fabric
google-drive-ocamlfuse
FUSE filesystem over Google Drive
handson-ml
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
ib-gateway-docker
Interactive Brokers Trading Gateway running in Docker
Interactive-Dashboards-and-Data-Apps-with-Plotly-and-Dash
Interactive Dashboards and Data Apps with Plotly and Dash, published by Packt
ipfn
Iterative Proportional Fitting for Python with N dimensions
pysystemtrade
Systematic Trading in python
python_install
python3.8 build from source on Ubuntu 21.04
pytorch-lambda
Deploying a (containerized) Pytorch model to AWS Lambda with ECR (Container Registry)
shap-hypetune
A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.
State-zip-code-GeoJSON
Zip code boundaries for each of the 50 states
stock-trading-ml
A stock trading bot that uses machine learning to make price predictions.
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.
T14AMD5850U
Store the logs from random reboots
tldr
📚 Collaborative cheatsheets for console commands
workshop_production_delta
Production Delta Workshop Resources