1353 Open source projects that are alternatives of or similar to Paperspace Python

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Lets you import Tensorflow + Keras from an AWS lambda

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The Triton Inference Server provides an optimized cloud and edge inferencing solution.

qihoo360 xlearning with GPU support; AI on Hadoop

PyTorch Language Model for 1-Billion Word (LM1B / GBW) Dataset

Deep Learning API and Server in C++14 support for Caffe, Caffe2, PyTorch,TensorRT, Dlib, NCNN, Tensorflow, XGBoost and TSNE

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Fork of CUDA GPU memtest 👓

Rules engine for cloud security, cost optimization, and governance, DSL in yaml for policies to query, filter, and take actions on resources

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Go package for computer vision using OpenCV 4 and beyond.

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Every developer deserves the right of creating microservices without using any framework 🤍

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Pulumi - Developer-First Infrastructure as Code. Your Cloud, Your Language, Your Way 🚀

A Cloud at the lowest level!

An Amazon Web Services (AWS) Pulumi resource package, providing multi-language access to AWS

Resource scheduling and cluster management for AI

The convertor/conversion of deep learning models for different deep learning frameworks/softwares.

Accompanying code for "A Simple Loss Function for Improving the Convergence and Accuracy of Visual Question Answering Models" CVPR 2017 VQA workshop paper.

Setup and customize deep learning environment in seconds.

A REST API for Caffe using Docker and Go

💻 Make machines learn so that you don't have to struggle to program them; The ultimate list

Spatio-Temporal Action Localization System

Squeeze-and-Excitation Networks

Platform as a Service API abstraction layer.

A curated collection of publicly available resources on how technology and tech-savvy organizations around the world use Amazon Web Services (AWS)

一个分布式(p2p)云教学/云课堂/直播平台系统CMS，睿易派的开源替代品

deep-learning platforms,framework,data（深度学习平台、框架、资料）

Tutorial for computer vision and machine learning in PHP 7/8 by opencv (installation + examples + documentation)

Oriented Response Networks, in CVPR 2017

The new architecture of co-computation for data processing and machine learning.

Making Platform as a Service offerings comparable - Ecosystem profiles for portability matching.

DenseNet Caffe Models, converted from https://github.com/liuzhuang13/DenseNet

☁️ A curated list of awesome services, solutions and resources for serverless / nobackend applications.

The core modules and the platform

⚖️Technical Oversight Committee (TOC)

A High Level Python Deep Reinforcement Learning library. Great for beginners, prototyping and quickly comparing algorithms

Allows OpenNebula to manage Linux Containers via LXD

A curated list of awesome services, solutions and resources that are running on European cloud infrastructure.

Generic CAS Spring Cloud Configuration Server WAR overlay

A real time Tweet Trend Map and Sentiment Analysis web application with kafka, Angular, Spring Boot, Flink, Elasticsearch, Kibana, Docker and Kubernetes deployed on the cloud

Orleans is a cross-platform framework for building distributed applications with .NET

Convert any classification model or architecture trained in keras to an object detection model

The simplest way to de-Google your life and business: Inbox, Calendar, Files, Contacts & much more

A simple dashboard for NVIDIA GPU

Azure PCI PaaS Reference Architecture

Apache Cloudstack

Seven Bridges API Client, CWL Schema, Meta Schema, and SDK Helper in R

An video camera,you can have realtime of a beautify,and change camera position,or turn on/off flash.Details see demo.

Azure Storage Simplified

Alacritty is a modern terminal emulator that comes with sensible defaults, but allows for extensive configuration. By integrating with other applications, rather than reimplementing their functionality, it manages to provide a flexible set of features with high performance. The supported platforms currently consist of BSD, Linux, macOS and Windows.

A black hole for Internet advertisements

Tests and benchmarks for cudnn (and in the future, other nvidia libraries)

This repository stores the files used for my summer internship's work on "teacher-student learning", an experimental method for training deep neural networks using a trained teacher model.

This is an implementation of very deep two stream CNNs for action recognition. The implementation is inspired by Wang et. al., https://github.com/yjxiong/caffe. Some improvements from Wang's implementation include reading videos from LDMB database, faster testing using LDMB interface. The aim is to work better with big dataset such as UCF101, HMDB51, Sports1M and ActivityNet easily.