Barani kumar's starred repositories
PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks
Made-With-ML
Learn how to design, develop, deploy and iterate on production-grade ML applications.
qlib
Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and create value using AI technologies in quantitative investment, from exploring ideas to implementing productions. Qlib supports diverse machine learning modeling paradigms. including supervised learning, market dynamics modeling, and RL.
awesome-competitive-programming
:gem: A curated list of awesome Competitive Programming, Algorithm and Data Structure resources
deprecated-version
Next version of roadmap.sh
mljar-supervised
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
dask-tutorial
Dask tutorial
Socioboard-5.0
Socioboard is world's first and open source Social Technology Enabler. Socioboard Core is our flagship product.
youtube_channel
Notebooks for the python tutorials of my youtube channel. See specific youtube video for link to specifc notebook.
ai-art-generator
For automating the creation of large batches of AI-generated artwork locally.
serverless-ml-course
Serverless Machine Learning Course for building AI-enabled Prediction Services from models and features
fastapi-gino-arq-uvicorn
High-performance Async REST API, in Python. FastAPI + GINO + Arq + Uvicorn (w/ Redis and PostgreSQL).
stockscreener
Build a Stock Screener using FastAPI (Python)
Design-Patterns
Auxiliary code to my PyCon Sweden 2017 talk "Design Patterns in Python"
hyperparameter-optimization
Code repository for the online course Hyperparameter Optimization for Machine Learning
code-jam-6
Python Discord's Winter Code Jam 2020
python3.11_speedtest
Simple speed tests for Python 3.11
how_to_containerize_models
A basic container to serve models in 3 ways - REST, message queues, and batch processing.
europython2019
Materials for training session at EuroPython2019 - Games, simulations and demonstrations with PyGame