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Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
The lean application framework for Python. Build sophisticated user interfaces with a simple Python API. Run your apps in the terminal and a web browser.
A set of tools to allow PDF to XML conversion, utilising Apache Beam and other tools. The aim of this project is to bring multiple tools together to generate a full XML document.
Converts PDF, DOC, DOCX, XML, HTML, RTF, etc to plain text
An easy way to extract information from documents
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
😎 A curated list of awesome MLOps tools
Python code for "Probabilistic Machine learning" book by Kevin Murphy
"Probabilistic Machine Learning" - a book series by Kevin Murphy
A curated list of awesome computer vision resources
A curated list of awesome Machine Learning frameworks, libraries and software.
Represent, send, store and search multimodal data
A library to inspect and extract intermediate layers of PyTorch models.
A deep learning python package for neuroimaging data. Made by:
Labeling Chest X-Ray Reports Using Deep Learning
A python library for self-supervised learning on images.
Read, modify and write DICOM files with python code
Your PyTorch AI Factory - Flash enables you to easily configure and run complex AI recipes for over 15 tasks across 7 data domains
Bayesian active learning library for research and industrial usecases.
Training PyTorch models with differential privacy
A curated list of resources on implicit neural representations.
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
Cross-platform, customizable ML solutions for live and streaming media.
High-Resolution 3D Human Digitization from A Single Image.
PyTorch Tutorial for Deep Learning Researchers
sentence embedding by Smooth Inverse Frequency weighting scheme