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
FM-Index full-text index implementation using RRR Wavelet trees (libcds) and fast suffix sorting (libdivsufsort) including experimental results.
automatic differentiation in go
Adaptive Skip-gram implementation in Julia
Reproducing the results of "Intriguing Properties of Neural Networks" and beyond
Text Classification while demoting confounding factors (like topics)
The classical papers and codes about generative adversarial nets
This repository contains the code to reproduce the core results from the paper "Adversarial Variational Bayes: Unifying Variational Autoencoders and Generative Adversarial Networks".
An open-source NLP research library, built on PyTorch.
A replication of DeepMind's 2016 Nature publication, "Mastering the game of Go with deep neural networks and tree search," details of which can be found on their website.
Simple Tensorflow implementation of AMSGrad Optimizer
A cognitive neural architecture able to learn and communicate through natural language
Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk
Deep Learning and applications in Startups, CV, Text Mining, NLP
APRIL-ANN toolkit (A Pattern Recognizer In Lua with ANNs). This toolkit incorporates ANN algorithms (as dropout, stacked denoising auto-encoders, convolutional NNs), with other pattern recognition methods as HMMs among others. Additionally, in experimental stage, it is possible to perform automatic differentiation, for advanced ML research.
Code for the paper "Adversarially Regularized Autoencoders for Generating Discrete Structures" by Zhao, Kim, Zhang, Rush and LeCun
Statistical Natural Language Processing with Annotated Suffix Trees
Persistent advantage learning dueling double DQN for the Arcade Learning Environment.
Neural Attention Model for Abstractive Summarization
AutoPhrase: Automated Phrase Mining from Massive Text Corpora
A curated list of awesome Deep Learning tutorials, projects and communities.
A curated list of awesome Go frameworks, libraries and software
This repo includes all customized GPTs on openai gpt store
A curated list of awesome Machine Learning frameworks, libraries and software.
An awesome list of high-quality open datasets in public domains (on-going).
Recurrent Neural Network - A curated list of resources dedicated to RNN
Task generation for testing text understanding and reasoning
Temporal graph store abstraction layer.
Pythonic Bayesian Belief Network Package, supporting creation of and exact inference on Bayesian Belief Networks specified as pure python functions.
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.