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-springboot-flowable-modeler

springboot-flowable-modeler

21-points

21-Points Health is an app you can use to monitor your health.

2dasl

The code (pytorch for testing & matlab for 3D plot and evaluation) for our project: Joint 3D Face Reconstruction and Dense Face Alignment from A Single Image with 2D-Assisted Self-Supervised Learning （2DASL）

3d-shape-retrieval

针对三维模型检索，并采用卷积神经网络，提出两个算法：1.采用体素化深层特征进行训练。2. 采用虚拟摄像机抓取多角度视图特征进行训练。

3dgan-release

3D Generative Adversarial Network

3dmodelviewer

This is a cross platform 3D model browser developed via electron+Vue+Typescript+NeDB, by Alexander Ezharjan.

a-keyboard

javascript keyboard

ace

Constraint Solver ACE

actorcloud

Open-source IoT Platform

address-semantic-search

基于TF-IDF余弦相似度的地址语义搜索解析匹配服务

admin-lte-angular2

用Angular2把AdminLTE包装成SPA

adminlte

AdminLTE - Free Premium Admin control Panel Theme Based On Bootstrap 3.x

adminscheduler

advanced-java

😮 互联网 Java 工程师进阶知识完全扫盲：涵盖高并发、分布式、高可用、微服务、海量数据处理等领域知识，后端同学必看，前端同学也可学习

aerosandbox

Aircraft design optimization made fast through modern automatic differentiation. Composable analysis tools for aerodynamics, propulsion, structures, trajectory design, and much more.

aether

Aether is a free, open-source 3D reconstruction application based on photogrammetry algorithms to enable true 3D model capture for smartphones and tablets.

agents

An Open-source Framework for Autonomous Language Agents

agentverse

🤖 AgentVerse 🪐 is designed to facilitate the deployment of multiple LLM-based agents in various applications, which primarily provides two frameworks: task-solving and simulation

agriculture-knowledgegraph-data

对知识库Wikidata的爬虫以及数据处理脚本 将三元组关系对齐到语料库的脚本 获取知识图谱数据的脚本

agriculture_knowledgegraph

农业知识图谱：农业领域的命名实体识别，实体解析，关系抽取，数据挖掘

ai-blocks

A powerful and intuitive WYSIWYG interface that allows anyone to create Machine Learning models!

ai-paper-search-engine

ai-project

Deep Learning application in lending risk prediction

aidemoandroid

这是一个安卓手机端的AI集成项目,这个项目包括人脸检测与对比，文本检测与识别，命名实体识别

aieditor

AI Editor built on top of Blockly

aika

Aika is a new type of artificial neural network designed to more closely mimic the behavior of a biological brain and to bridge the gap to classical AI. A key design decision in the Aika network is to conceptually separate the activations from their neurons, meaning that there are two separate graphs. One graph consisting of neurons and synapses representing the knowledge the network has already acquired and another graph consisting of activations and links describing the information the network was able to infer about a concrete input data set. There is a one-to-many relation between the neurons and the activations. For example, there might be a neuron representing a word or a specific meaning of a word, but there might be several activations of this neuron, each representing an occurrence of this word within the input data set. A consequence of this decision is that we have to give up on the idea of a fixed layered topology for the network, since the sequence in which the activations are fired depends on the input data set. Within the activation network, each activation is grounded within the input data set, even if there are several activations in between. This means links between activations serve two purposes. On the one hand, they are used to sum up the synapse weights and, on the other hand they propagate the identity to higher level activations.

ailearning

AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP

aiop-core

人工智能开放平台

airfoil-optimizer-web-ui

Simple airfoil optimization problem using OpenMDAO

aisa-kg-system

The AISA Proof-of-Concept KG System builds on Apache Jena Fuseki and facilitates the modularization of the management of a Knowledge Graph (KG) with static and dynamic data.