Pinned Repositories
Adv_Fin_ML_Exercises
Experimental solutions to selected exercises from the book [Advances in Financial Machine Learning by Marcos Lopez De Prado]
awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
awesome-normalizing-flows
A list of awesome resources on normalizing flows.
awesome-tensorflow
TensorFlow - A curated list of dedicated resources http://tensorflow.org
cheatsheet
Cheatsheets on datascience tools
Computational-Biophysics-2019
Homework repository for Computational biophysics class 2019 held in IBB at Tehran university
COVID-19
dash_drag_drop
Dash application with drag and drop options
DeepFold
Protein design from graph theory point of view
Docker
Docker files and compose
Katebsaber's Repositories
Katebsaber/COVID-19
Katebsaber/jetbrains-activator
JetBrains License Server Activator
Katebsaber/Adv_Fin_ML_Exercises
Experimental solutions to selected exercises from the book [Advances in Financial Machine Learning by Marcos Lopez De Prado]
Katebsaber/awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
Katebsaber/awesome-normalizing-flows
A list of awesome resources on normalizing flows.
Katebsaber/cheatsheet
Cheatsheets on datascience tools
Katebsaber/Computational-Biophysics-2019
Homework repository for Computational biophysics class 2019 held in IBB at Tehran university
Katebsaber/dash_drag_drop
Dash application with drag and drop options
Katebsaber/DeepFold
Protein design from graph theory point of view
Katebsaber/Docker
Docker files and compose
Katebsaber/fastapi-json-log
fastapi writes all logs to json format for Kibana or OpenSearch
Katebsaber/faza_io
Katebsaber/financial-machine-learning
A curated list of practical financial machine learning tools and applications.
Katebsaber/GNNPapers
Must-read papers on graph neural networks (GNN)
Katebsaber/gratis
GRATIS: GeneRAting TIme Series with diverse and controllable characteristics
Katebsaber/IFSGuideTask
IFS Guide Task
Katebsaber/Machine-Learning-for-Asset-Managers
Implementation of code snippets, exercises and application to live data from Machine Learning for Asset Managers (Elements in Quantitative Finance) written by Prof. Marcos López de Prado.
Katebsaber/Microservices-Based-Algorithmic-Trading-System
MBATS is a docker based platform for developing, testing and deploying Algorthmic Trading strategies with a focus on Machine Learning based algorithms.
Katebsaber/mlfinlab
MlFinLab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools.
Katebsaber/protein-interaction-network
Computes a molecular graph for protein structures.
Katebsaber/pytrends
Pseudo API for Google Trends
Katebsaber/rapids-examples
Katebsaber/research
Notebooks based on financial machine learning.
Katebsaber/sample_vercel
Katebsaber/sanic_graphql
Simple Sanic + GraphQL server with graphene
Katebsaber/Stock-Prediction-Models
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
Katebsaber/ubuntu
Useful files in starting up a fresh ubuntu
Katebsaber/v2fly-onion
Bypass intranet using two proxy layers. #KeepItOn
Katebsaber/v2ray-ansible
Ansible playbook to provision v2ray servers.
Katebsaber/Variational-Auto-Encoder-time-series-forecasting-system-in-KERAS