awesome-data-science-development
:robot: Awesome list of libraries, frameworks, softwares and tools used in data science.
https://github.com/praneshkrishnan/awesome-data-science-development
Last synced: 7 days ago
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Backend Development
Backend Other Notes
- How to deal with breaking changes
- Keep a change log
- Semantic Versioning
- Readme.so _Easy to structure readme_
Command Line
Data Format
Deployment
DevOps
Monitoring
REST
Security
Software Architecture
Cloud Infrastructure
Cloud Other Notes
Cloud Provider
Course
Web Hosting
- Awesome CS Courses
- The missing CS semester
- Deep Dive Into Modern Web Development
- Stanford Python Numpy Tutorial
- Cloudfare
- How HTTP works
- Practical Deep Learning for Coders
- Convolutional Neural Network for Visual Recognition CS231n
- The NLP Pandect
- Hugging Face Course
- Stanford NLP CS224n
- Qwiklabs _Hand On Cloud Training_
Database
Structured Query Language
Data Science
Data
Data Science Environment
Data Science Other Notes
- Netron _Neural Network Visualization_
- Jupyter Docker _Data Science Notebooks in Docker image_
- Clean Code for Data Science Workflow
Domain Specific
- EAST: An Efficient and Accurate Scene Text Detector CVPR 2017
- Top 5 OSS Library
- Forecasting: Principles and Practice
- EasyOCR
Machine Learning
- NumPy _Multi Dimensional Array Processing_
- Scipy _Scientific Library for Python_
- Scikit-Learn _Machine Learning Library_
- HuggingFace _NLP Oriented & Model HuB_
- H20 AutoML
- Prefect _Data Automation_
- Pillow
- FlashLight
- statsmodel _Statistical modeling and econometrics in Python_
- Numpy_ml _Machine Learning, in Numpy_
- Augly _Data Augmentation_
- Cleverhans _Benchmark ML System to Adversarial Examples_
- Foolbox _Run adversarial attacks against ML models_
- Pytorch Video
- Flax
- What-If Tool
ML Ops
Package Management
Visualization
E-Book
Web Hosting
- Designing Data Intensive Applications
- Rules for Machine Learning, Best Practices for ML Engineering
- Web Scraping With Python
- Practical AI on the Google Cloud Platform
- Full Stack Deep Learning
- Principle of Data Wrangling
- Python for Data Analysis
- Data Science Cheatsheet
- Data Cleaning
- Python For Finance
- Java Notes for Professionals
- MySQL_NotesForProfessional
- Approaching Almost Any Machine Learning Problem
Frontend Development
Basic Stack
- Understanding ECMAScript 6 - Github es6features|
- TypeScript From Scratch
- Awesome Typescript 1
- Awesome Typescript 2