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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…
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
Data Apps & Dashboards for Python. No JavaScript Required.
Google Chromium, sans integration with Google
OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them to be searched
StyleGAN - Official TensorFlow Implementation
A very simple framework for state-of-the-art Natural Language Processing (NLP)
Keras implementations of Generative Adversarial Networks.
Pytorch implementation of our method for high-resolution (e.g. 2048x1024) photorealistic video-to-video translation.
🔥 2D and 3D Face alignment library build using pytorch
Preview GitHub README.md files locally before committing them.
Tool for partial deblobbing of Intel ME/TXE firmware images
Core ML tools contain supporting tools for Core ML model conversion, editing, and validation.
Like nmap for mapping wifi networks you're not connected to, plus device tracking
The Places365-CNNs for Scene Classification
🇺🇸 a python library for parsing unstructured United States address strings into address components
Home Assistant integration for Dreame robot vacuums with map support
Local continuous test runner with pytest and watchdog.
an open-source, cross-platform toolbox for minimal-effort programming of eye tracking experiments
🎆 A visualization of the CapsNet layers to better understand how it works
Deepparse is a state-of-the-art library for parsing multinational street addresses using deep learning
Demo of JupyterLab with real-time collaboration
The phc-sdk-py is a developer kit for interfacing with the PHC API on Python 3.8 and above.