afcarl Goto Github PK
Name: Andrew Carl
Type: User
Bio: "GitHub AI Brain-of-Brains": https://2strikehitter.com/AI_BrainofBrains.html
Location: Las Vegas, Nevada, USA
Blog: https://afcarl.github.io
Name: Andrew Carl
Type: User
Bio: "GitHub AI Brain-of-Brains": https://2strikehitter.com/AI_BrainofBrains.html
Location: Las Vegas, Nevada, USA
Blog: https://afcarl.github.io
Implementation of VLAE
Implementation of the VRAE
A PyTorch implementation of "Generating Sentences from a Continuous Space"
A tensorflow implementation of "Generating Sentences from a Continuous Space"
Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)
Torch implementation of Variational Autoencoder
Implementation (with some experimentation) of the paper titled "VARIATIONAL DISCRIMINATOR BOTTLENECK: IMPROVING IMITATION LEARNING, INVERSE RL, AND GANS BY CONSTRAINING INFORMATION FLOW" (arxiv -> https://arxiv.org/pdf/1810.00821.pdf)
Variational Dropout Sparsifies Deep Neural Networks (Molchanov et al. 2017) by Chainer
TensorFlow reimplementation of Variational Walkback
An example of variational approximation for Gaussian process classification
The implementation of the models and experiments of Variational Deep Semantic Hashing paper (SIGIR 2017)
Pytorch implementation of the Variational Recurrent Neural Network (VRNN).
Code for reproducing the results on the MNIST dataset in the paper "Distributional Smoothing with Virtual Adversarial Training"
Variational Bayesian Context-aware Representation for Grocery Recommendation
Variational Bayesian Monte Carlo (VBMC) algorithm for posterior and model inference in MATLAB
python version of vbmod (variational bayes for network modularity)
Network specification and demo
Viscous Correction for Cart3D
Validation curve fitting
Automatically mock your HTTP interactions to simplify and speed up testing
Very Deep Convolutional Networks with Tensor Flow
🎄 Virtual DOM for Python
Class for converting parameters vector to product
Vecino is a command line application to discover Git repositories which are similar to the one that the user provides.
A framework to learn cross-lingual word embedding mappings
Specification and estimation of VAR model to U.S. Dollar Future prices
VEEGAN: Reducing Mode Collapse in GANs using Implicit Variational Learning
Self-Driving Car Engineer Nanodegree Project
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.