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NVIDIA's Deep Imagination Team's PyTorch Library
This is a tutorial to connect the fundamental mathematics to a practical implementation addressing the continual learning problem of artificial intelligence
🖍️ LabelImg is a graphical image annotation tool and label object bounding boxes in images
Learn OpenCV : C++ and Python Examples
Various Notebooks for Lernapparat.de
Using Low-rank adaptation to quickly fine-tune diffusion models.
A collection of machine learning examples and tutorials.
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
mixup: Beyond Empirical Risk Minimization
Machine Learning From Scratch. Bare bones Python implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from data mining to deep learning.
Models and examples built with TensorFlow
Official Pytorch Implementation for "MultiDiffusion: Fusing Diffusion Paths for Controlled Image Generation" presenting "MultiDiffusion" (ICML 2023)
Code for the paper: Valvano G. et al. (2021), Learning to Segment from Scribbles using Multi-scale Adversarial Attention Gates
Multimodal Unsupervised Image-to-Image Translation
Diagrams for visualizing neural network architecture (Created with diagrams.net)
Code samples for my book "Neural Networks and Deep Learning"
A collection of PyTorch implementations of neural network architectures and layers.
machine learning and computer vision is just algorithms and data structures with more fancy properties. be real about the hype
Official PyTorch implementation of ODISE: Open-Vocabulary Panoptic Segmentation with Text-to-Image Diffusion Models [CVPR 2023 Highlight]
Implementation of "Overcoming catastrophic forgetting in neural networks" in Tensorflow
Open source Python module for computer vision
Blog
An unnecessarily tiny implementation of GPT-2 in NumPy.
Zero-shot Image-to-Image Translation [SIGGRAPH 2023]
pix2pix3D: Generating 3D Objects from 2D User Inputs
Official Implementation for "Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation" (CVPR 2021)
Latex code for making neural networks diagrams
PyTorch implementation of Contrastive Learning methods; List of awesome-contrastive-learning papers
Python code for "Machine learning: a probabilistic perspective" (2nd edition)
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.