Stars
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
An opinionated list of Python frameworks, libraries, tools, and resources
All Algorithms implemented in Python
FastAPI framework, high performance, easy to learn, fast to code, ready for production
🏡 Open source home automation that puts local control and privacy first.
Financial data platform for analysts, quants and AI agents.
CLI platform to experiment with codegen. Precursor to: https://lovable.dev
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
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…
120+ interactive Python coding interview challenges (algorithms and data structures). Includes Anki flashcards.
⚡ A Fast, Extensible Progress Bar for Python and CLI
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,…
1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
Minimal and clean examples of machine learning algorithms implementations
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
Implementation of Imagen, Google's Text-to-Image Neural Network, in Pytorch
Scan, index, and archive all of your paper documents
A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
arXiv LaTeX Cleaner: Easily clean the LaTeX code of your paper to submit to arXiv
Mycroft Core, the Mycroft Artificial Intelligence platform.
Cracking the Coding Interview 6th Ed. Python Solutions