sergey-serebryakov Goto Github PK
Name: Sergey Serebryakov
Type: User
Company: Hewlett Packard Labs
Location: Palo Alto
Name: Sergey Serebryakov
Type: User
Company: Hewlett Packard Labs
Location: Palo Alto
Adaptive Neural Trees
Estimating Bayes error bounds
This fork of BVLC/Caffe is dedicated to improving performance of this deep learning framework when running on CPU, in particular Intel® Xeon processors (HSW+) and Intel® Xeon Phi processors
Caffe: a fast open framework for deep learning.
CMF library helps to collect and store information associated with ML pipelines. It tracks the lineages for artifacts and executions of distributed AI pipelines. It provides API's to record and query the metadata associated with ML pipelines. The framework adopts a data first approach and all artifacts recorded in the framework are versioned and identified by the content hash.
Extending collectl to send process data to graphite
Unofficial community efforts
Easy benchmarking of all publicly accessible implementations of convnets
Deep Learning Examples
PyTorch implements "DeepLog: Anomaly Detection and Diagnosis from System Logs through Deep Learning"
Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/
A collection of benchmark recipes for HPE Benchmarking Suite
OpenVINO™ Toolkit - Deep Learning Deployment Toolkit repository
🃏 A magical documentation site generator.
Eigen linear algebra library with BLIS (BLAS) on CPUs
Charts for Raphaël
Lyrics generation with GPT2-based Transformer
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
An open-source tool for controlling IPMI-enabled systems
contextMenu manager
A reference implementation of a JSON package in Java.
This is now the official location of the Kaldi project.
KenLM: Faster and Smaller Language Model Queries
Markdown extension: a classier syntax for admonitions
Project documentation with Markdown.
An MkDocs extension to generate documentation for Click command line applications
For recording and retrieving metadata associated with ML developer and data scientist workflows.
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.