andrewverte

Deep-Learning-Papers-Reading-Roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

ray

Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

kit

A standard library for microservices.

awesome-deep-learning

A curated list of awesome Deep Learning tutorials, projects and communities.

dgraph

The high-performance database for modern applications

hydra

OpenID Certified™ OpenID Connect and OAuth Provider written in Go - cloud native, security-first, open source API security for your infrastructure. SDKs for any language. Works with Hardware Security Modules. Compatible with MITREid.

bolt

An embedded key/value database for Go.

dask

Parallel computing with task scheduling

sonnet

TensorFlow-based neural network library

distsys-class

Class materials for a distributed systems lecture series

universe

Universe: a software platform for measuring and training an AI's general intelligence across the world's supply of games, websites and other applications.

lab

A customisable 3D platform for agent-based AI research

draco

Draco is a library for compressing and decompressing 3D geometric meshes and point clouds. It is intended to improve the storage and transmission of 3D graphics.

upspin

Upspin: A framework for naming everyone's everything.

awesome-rnn

Recurrent Neural Network - A curated list of resources dedicated to RNN

neuraltalk

NeuralTalk is a Python+numpy project for learning Multimodal Recurrent Neural Networks that describe images with sentences.

scio

A Scala API for Apache Beam and Google Cloud Dataflow.

go-oauth2-server

A standalone, specification-compliant, OAuth2 server written in Golang.

biaxial-rnn-music-composition

A recurrent neural network designed to generate classical music.

shaderc

A collection of tools, libraries, and tests for Vulkan shader compilation.

collection

The Museum of Modern Art (MoMA) collection data

CaffeOnSpark

Distributed deep learning on Hadoop and Spark clusters.

rnnlib

RNNLIB is a recurrent neural network library for sequence learning problems. Forked from Alex Graves work http://sourceforge.net/projects/rnnl/

lexvec

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

sbt-docker

Create Docker images directly from sbt

functionsimsearch

Some C++ example code to demonstrate how to perform code similarity searches using SimHashing.

papers

Collection of papers

deep_learning

Deep Learning Resources and Tutorials using Keras and Lasagne

pyneural

usl4j

A reasonably complete implementation of the Universal Scalability Law model.