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anchor-diff-vos

Anchor Diffusion for Unsupervised Video Object Segmentation

awesome-ios-resource

:iphone: A curated list of awesome iOS resources, including conferences, books, blogs, articles, websites and documentations

brace

📔 browserify compatible version of the ace editor.

carve

Automatically exported from code.google.com/p/carve

cassandra

Mirror of Apache Cassandra

centermask

CenterMask : Real-Time Anchor-Free Instance Segmentation, in CVPR 2020

chisel

Chisel is a collection of LLDB commands to assist debugging iOS apps.

compressonator

darwin-xnu

The Darwin Kernel (mirror)

deep-learning-books

Books for machine learning, deep learning, math, NLP, CV, RL, etc

dotnet-api-docs

.NET API reference documentation (.NET 5+, .NET Core, .NET Framework)

dotnet-runtime

.NET is a cross-platform runtime for cloud, mobile, desktop, and IoT apps.

effective-resourses

:book:学习资源整合

eigen-git-mirror

Git mirror of the official Eigen's repository -- PULL REQUEST MUST BE SENT TO: https://bitbucket.org/eigen/eigen

etherpad-lite

Etherpad: A modern really-real-time collaborative document editor.

facebook-sdk-for-unity

The facebook sdk for unity. https://developers.facebook.com/docs/unity

feelvos

FEELVOS implementation in PyTorch; FEELVOS: Fast End-to-End Embedding Learning for Video Object Segmentation

frtm-vos

Code accompanying the paper Learning Fast and Robust Target Models for Video Object Segmentation

go

The Go programming language

http-server

a simple zero-configuration command-line http server

instant-meshes

Interactive field-aligned mesh generator

jx86

Java Library for Generating x86 Code

kubernetes

Production-Grade Container Scheduling and Management

libigl

Simple C++ geometry processing library.

lightmapping-extended

A configuration tool for the Unity lightmapping system that exposes all available Beast XML settings.

literate-raytracer

a literate raytracer in javascript

malmo

Project Malmo is a platform for Artificial Intelligence experimentation and research built on top of Minecraft. We aim to inspire a new generation of research into challenging new problems presented by this unique environment. --- For installation instructions, scroll down to *Getting Started* below, or visit the project page for more information:

mask_rcnn

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

monobuildtools

nodejs-driver

DataStax Node.js Driver for Apache Cassandra