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Code for "Self-Attention Between Datapoints: Going Beyond Individual Input-Output Pairs in Deep Learning"
We often use linear color transformation (like most implementations of contrast, brightness jitter). These transformations are potentially quickly learned by a neural network, especially networks with normalization layers. This repository implements non-linear color augmentations (like gamma-correction and the S-curves in Photoshop).
Nonlinear Information Bottleneck
Curiosity-driven Exploration for Deep Reinforcement Learning by Self-supervised Prediction
Accelerating network inference over video
A note taking app that does not break your workflow
The DOM-based inspector for Observable notebooks.
The reactive runtime for Observable notebooks.
Productionise your Jupyter Notebooks as easily as you wrote them.
Machine learning notebooks in different subjects optimized to run in google collaboratory
Random Jupyter notebooks
Real-time collaborative notes editing
capsule networks that achieves outstanding performance on the German traffic sign dataset
Quick function to go from a dictionary of sets of (images, labels, feature vectors) to checkpoints that can be opened in Tensorboard
nptsne is a numpy compatible python binary package that offers a number of APIs for fast tSNE calculation.
Neural relational inference for interacting systems - pytorch
PyTorch implementation for the Neuro-Symbolic Concept Learner (NS-CL).
:notebook: Desktop notebook app + packages
Neural Turing Machines library in Theano with Lasagne
A chainer implementation of Memory Augmented Neural Network
One-shot Learning with Memory-Augmented Neural Networks
One Shot Learning using Memory-Augmented Neural Networks based on Neural Turing Machine architecture in Tensorflow
Neural Task Programming
High-Performance Serverless event and data processing platform
Get inside your JVM
NuCypher fully homomorphic encryption (nuFHE) library implemented in Python
NumPy aware dynamic Python compiler using LLVM
Numba-based version of DimmWitted Gibbs sampler
HTM based applications and support libraries. Includes Grok for IT Analytics and Grok for Stocks (code name "Taurus").
Numerical Tours of Signal Processing
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.