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cristianstanciu's Projects

cookiecutter-django icon cookiecutter-django

Cookiecutter Django is a framework for jumpstarting production-ready Django projects quickly.

copilot-cli icon copilot-cli

The AWS Copilot CLI is a tool for developers to build, release and operate production ready containerized applications on AWS App Runner or Amazon ECS on AWS Fargate.

core icon core

🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

coreutils icon coreutils

Cross-platform Rust rewrite of the GNU coreutils

courier icon courier

Data interchange for the modern web + mobile stack.

crayons icon crayons

🖍️ Crayons - A UI Kit comprising of web components for building Freshworks Apps!

cub icon cub

Cooperative primitives for CUDA C++.

cube.js icon cube.js

📊 Cube — Headless Business Intelligence for Building Data Applications

curl icon curl

A command line tool and library for transferring data with URL syntax, supporting DICT, FILE, FTP, FTPS, GOPHER, GOPHERS, HTTP, HTTPS, IMAP, IMAPS, LDAP, LDAPS, MQTT, POP3, POP3S, RTMP, RTMPS, RTSP, SCP, SFTP, SMB, SMBS, SMTP, SMTPS, TELNET and TFTP. libcurl offers a myriad of powerful features

cypress icon cypress

Fast, easy and reliable testing for anything that runs in a browser.

d3 icon d3

Bring data to life with SVG, Canvas and HTML. :bar_chart::chart_with_upwards_trend::tada:

daffy icon daffy

Full Stack Automation tool for OpenShift and IBM Cloud Paks

dart-sdk icon dart-sdk

The Dart SDK, including the VM, dart2js, core libraries, and more.

datascript icon datascript

Immutable database and Datalog query engine for Clojure, ClojureScript and JS

dawdreamer icon dawdreamer

Digital Audio Workstation with Python; VST instruments/effects, parameter automation, FAUST, Warp Markers, and JUCE processors

deanimator icon deanimator

Go package that can detect animated images and "deanimate" them by rendering just the first frame as a static image.

deep-learning-containers icon deep-learning-containers

AWS Deep Learning Containers (DLCs) are a set of Docker images for training and serving models in TensorFlow, TensorFlow 2, PyTorch, and MXNet.

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