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A list of papers and datasets about point cloud analysis (processing)
Implementation of the Convolutional Conditional Neural Process
Differentiable Neural Computer in TensorFlow
Implementation of Graph Convolutional Networks in TensorFlow
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
A library for building Guassian Process models in Python using TensorFlow.
Code repository of the paper Neural circuit policies enabling auditable autonomy published in Nature Machine Intelligence
Code for "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"
Markdown content for the www.aerobatic.io website
Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)
Latex code for making neural networks diagrams
Probabilistic reasoning and statistical analysis in TensorFlow
A PyTorch Implementation of Convolutional Conditional Neural Process.
Pytorch implementation of Recurrent Neural Processes https://arxiv.org/pdf/1906.05915.pdf
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
Streaming sparse Gaussian process approximations
Code for the paper "On First-Order Meta-Learning Algorithms"
TensorFlow 2.0 implementation of MAML.
A simple yet classy theme for your Jekyll website or blog.
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.