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This is a repo with links to everything you'd ever want to learn about data engineering
Kaishi 1.5k is a modern, modular Japanese Anki deck made for beginners who want to learn basic vocabulary.
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch and FLAX.
Python packaging for developers in a hurry.
SecLists is the security tester's companion. It's a collection of multiple types of lists used during security assessments, collected in one place. List types include usernames, passwords, URLs, se…
PyScript is an open source platform for Python in the browser. Try PyScript: https://pyscript.com Examples: https://tinyurl.com/pyscript-examples Community: https://discord.gg/HxvBtukrg2
A simple extension for Jupyter Notebook and Jupyter Lab to beautify Python code automatically using black.
「PyTorch Implementation of AnimeGANv2」を用いて、生成した顔画像を元の画像に上書きするデモ
10 Weeks, 20 Lessons, Data Science for All!
Code for the NeurIPS 2019 paper: Topology-Preserving Deep Image Segmentation
Implementation of various label fusion approaches for medical imaging.
🎓 Um caminho para a educação autodidata em Ciência da Computação!
Insight Toolkit (ITK) -- Official Repository. ITK builds on a proven, spatially-oriented architecture for processing, segmentation, and registration of scientific images in two, three, or more dime…
Tesseract Open Source OCR Engine (main repository)
Image dataset from RoboCup Small Size League
Neural building blocks for speaker diarization: speech activity detection, speaker change detection, overlapped speech detection, speaker embedding
🐍 Geometric Computer Vision Library for Spatial AI
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
ROS Robotics Projects, published by Packt
Deep-Reinforcement-Learning-Hands-On-Second-Edition, published by Packt
Neural Style implementation in PyTorch! 🎨
Code and information for face image quality assessment with SER-FIQ
Cracking the Coding Interview in Python 3. The solutions all have detailed explanations with visuals.