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All Algorithms implemented in Python
A curated list of awesome Machine Learning frameworks, libraries and software.
🎨 Diagram as Code for prototyping cloud system architectures
GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.
Convert PDF to markdown + JSON quickly with high accuracy
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep lear…
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials,…
An advanced Twitter scraping & OSINT tool written in Python that doesn't use Twitter's API, allowing you to scrape a user's followers, following, Tweets and more while evading most API limitations.
1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
Statsmodels: statistical modeling and econometrics in Python
⚡机器学习实战（Python3）：kNN、决策树、贝叶斯、逻辑回归、SVM、线性回归、树回归
Plumb a PDF for detailed information about each char, rectangle, line, et cetera — and easily extract text and tables.
A collection of machine learning examples and tutorials.
Short Python code snippets for all your development needs
Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristi…
Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.
Example code for the book Fluent Python, 1st Edition (O'Reilly, 2015)
Text preprocessing, representation and visualization from zero to hero.
Data Engineering Practice Problems
Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.
A set of tools for extracting tables from PDF files helping to do data mining on (OCR-processed) scanned documents.
Master the fundamentals of machine learning, deep learning, and mathematical optimization by building key concepts and models from scratch using Python.
A series of DAGs/Workflows to help maintain the operation of Airflow
Microsoft 365 & Microsoft Graph Library for Python
Small scale machine learning projects to understand the core concepts . Give a Star 🌟If it helps you. BONUS: Interview Bank coming up..!
pyforest - feel the bliss of automated imports