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
Code for reproducing key results in the paper "Improving Variational Inference with Inverse Autoregressive Flow"
Sentiment analysis with Ensemble
Generative Adversarial Text-to-Image Synthesis
code for the paper "Improved Techniques for Training GANs"
Code for reproducing experiments in "Improved Training of Wasserstein GANs"
Rethinking the Inception Architecture for Computer Vision
Sentence embeddings (InferSent) and training code for NLI.
One Embedder, Any Task: Instruction-Finetuned Text Embeddings
Python/Keras implementation of integrated gradients presented in "Axiomatic Attribution for Deep Networks" for explaining any model defined in Keras framework.
RNN and Spoken Language Understanding
Jieba 分词 Go 语言版
C++ implementation of LSTM (Long Short Term Memory), in Kaldi's nnet1 framework. Used for automatic speech recognition, possibly language modeling etc.
Theano-based Deep Learning library (convnets, recurrent neural networks, and more).
Keras + Gaussian Processes: Learning scalable deep and recurrent kernels.
[UNMAINTAINED] Face detection for cats in JavaScript - demo for a TXJS talk
Learning to Cluster. A deep clustering strategy.
Tensorflow implementation of "Language Modeling with Gated Convolutional Networks"
An implementation of the largeVis algorithm for visualizing large, high-dimensional datasets, for R
Code and models from the paper "Layer Normalization"
tensorflow port of the lda2vec model for unsupervised learning of document + topic + word embeddings
The codes of paper "Long Text Generation via Adversarial Training with Leaked Information" on AAAI 2018. Text generation using GAN and hierarchical reinforcement learning.
Controllable Text Generation using variational auto-encoder (VAE) and text CNN
TensorFlow implementation of the paper "Learning to learn by gradient descent by gradient descent ( https://arxiv.org/abs/1606.04474 )"
Learning to Execute
This is an implementation of the LexVec word embedding model (similar to word2vec and GloVe) that achieves state of the art results in multiple NLP tasks
Lifelong Variational Autoencoder
LINE: Large-scale information network embedding
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.