Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

Models and examples built with TensorFlow

Deep Learning for humans

💻 A fully functional local AWS cloud stack. Develop and test your cloud & Serverless apps offline

A code-completion engine for Vim

Turn your two-bit doodles into fine artworks with deep neural networks, generate seamless textures from photos, transfer style from one image to another, perform example-based upscaling, but wait..…

Bayesian Modeling and Probabilistic Programming in Python

Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)

Python Script to download hundreds of images from 'Google Images'. It is a ready-to-run code!

Accelerate local LLM inference and finetuning (LLaMA, Mistral, ChatGLM, Qwen, Mixtral, Gemma, Phi, MiniCPM, Qwen-VL, MiniCPM-V, etc.) on Intel XPU (e.g., local PC with iGPU and NPU, discrete GPU su…

Augmented Traffic Control: A tool to simulate network conditions

DeepVis Toolbox

Fast, flexible and easy to use probabilistic modelling in Python.

Deep neural network to extract intelligent information from invoice documents.

PyGraphistry is a Python library to quickly load, shape, embed, and explore big graphs with the GPU-accelerated Graphistry visual graph analyzer

Source Code for the book Building Machine Learning Systems with Python

Smaller, easier, more powerful, and more reliable than make. An implementation of djb's redo.

Numpy exercises.

(Obsolete, use https://github.com/inboxapp/inbox instead) A modern webmail.

Python framework for fast (approximated) nearest neighbour search in large, high-dimensional data sets using different locality-sensitive hashes.

Google MobileNet implementation with Keras

Search image collections by multiple color palettes or by image color similarity.

Principal Component Analysis and Fashion

Calls you when your websites go down.

A color analysis bot in javascript.