vseledkin Goto Github PK
Name: Viacheslav Seledkin
Type: User
Bio: Make Soft, Not Bugs, Make AI, Don't overfit
Location: Milky Way, Orion Arm, Sol System, 3
Name: Viacheslav Seledkin
Type: User
Bio: Make Soft, Not Bugs, Make AI, Don't overfit
Location: Milky Way, Orion Arm, Sol System, 3
repo that holds code for improving on dropout using Stochastic Delta Rule
Implementations of the algorithms described in Differentiable plasticity: training plastic networks with gradient descent, a research paper from Uber AI Labs.
RNN with differentiable structure (number of neurons)
Tensorflow implementation for DilatedRNN
Dilated Convolution for Semantic Image Segmentation
Training Very Deep Neural Networks Without Skip-Connections
Official implementation of "Learning to Discover Cross-Domain Relations with Generative Adversarial Networks"
A curated list of research papers related to learning disentangled representations
dmmclust is a package for clustering short texts, based on Yin and Wang (2014)
Deep Neural Decision Trees
Open source text annotation tool for machine learning practitioner.
A deep learning library for streamlining research and development using the Torch7 distribution.
deep extensions to nn
A stable algorithm for GAN training
Reimplementation of DRAW
Torch implementation of DRAW: A Recurrent Neural Network For Image Generation, based on https://github.com/vivanov879/draw
domain transfer network. tensorflow implementation of unsupervised cross-domain image generation
Tensorflow tutorial of building different dynamic recurrent neural network
A tensorflow implementation of Junbo et al's Energy-based generative adversarial network ( EBGAN ) paper.
A library for probabilistic modeling, inference, and criticism. Deep generative models, variational inference. Runs on TensorFlow.
This is a verified version of the Parakweet Labs intent dataset, taken from the Enron email dataset.
ESGD-M is a stochastic non-convex second order optimizer, suitable for training deep learning models, for PyTorch.
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
Publishing Framework for Large-Scale Data-Rich Interactive Web Pages
Exponential Machines implementation
natural image generation using ConvNets
Fabrik – Collaboratively build, visualize, and design neural nets in the browser
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.