12346666's repositories

neurips-18-prosthetics-challenge

NeurIPS 2018: AI for Prosthetics Challenge – 3rd place solution

License:MITStargazers:0Issues:0Issues:0

simple-effective-text-matching

Source code of the ACL2019 paper "Simple and Effective Text Matching with Richer Alignment Features".

License:Apache-2.0Stargazers:0Issues:0Issues:0
Stargazers:0Issues:0Issues:0
License:GPL-2.0Stargazers:0Issues:0Issues:0

tagan

An official PyTorch implementation of the paper "Text-Adaptive Generative Adversarial Networks: Manipulating Images with Natural Language", NeurIPS 2018

License:Apache-2.0Stargazers:0Issues:0Issues:0
License:GPL-3.0Stargazers:0Issues:0Issues:0

models

Models and examples built with TensorFlow

Language:PythonLicense:Apache-2.0Stargazers:0Issues:0Issues:0

TDengine

An open-source big data platform designed and optimized for the Internet of Things (IoT).

Language:CLicense:AGPL-3.0Stargazers:0Issues:0Issues:0

DNNLibrary

Daquexian's NNAPI Library. ONNX + Android NNAPI

Language:C++License:Apache-2.0Stargazers:0Issues:0Issues:0

DCL

Destruction and Construction Learning for Fine-grained Image Recognition

Language:PythonLicense:NOASSERTIONStargazers:0Issues:0Issues:0
Language:PythonStargazers:0Issues:0Issues:0

bpmn-js-examples

Some examples how to use bpmn-js

Language:JavaScriptStargazers:0Issues:0Issues:0

GloRe

Global Reasoning module for visual recognition

License:MITStargazers:0Issues:0Issues:0

java-jwt

Java implementation of JSON Web Token (JWT)

Language:JavaLicense:MITStargazers:0Issues:0Issues:0

stock-knowledge-graph

利用网络上公开的数据构建一个小型的证券知识图谱/知识库

License:MITStargazers:0Issues:0Issues:0

Python

All Algorithms implemented in Python

Language:PythonLicense:MITStargazers:0Issues:0Issues:0

Activiti

Activiti is a light-weight workflow and Business Process Management (BPM) Platform targeted at business people, developers and system admins. Its core is a super-fast and rock-solid BPMN 2 process engine for Java. It's open-source and distributed under the Apache license. Activiti runs in any Java application, on a server, on a cluster or in the cloud. It integrates perfectly with Spring, it is extremely lightweight and based on simple concepts.

Language:JavaLicense:Apache-2.0Stargazers:0Issues:0Issues:0

DeepLearning-500-questions

深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系scutjy2015@163.com 版权所有,违权必究 Tan 2018.06

License:GPL-3.0Stargazers:0Issues:0Issues:0

KDD2019-MEIRec

KDD2019-Metapath-guided Heterogeneous Graph Neural Network for Intent Recommendation

Stargazers:0Issues:0Issues:0
Stargazers:0Issues:0Issues:0

tpprl

Code and data for "Deep Reinforcement Learning of Marked Temporal Point Processes", NeurIPS 2018

Stargazers:0Issues:0Issues:0

NetWalk

Implementation of the Paper(KDD'18) NetWalk: A Flexible Deep Embedding Approach for Anomaly Detection in Dynamic Networks.

Stargazers:0Issues:0Issues:0

vue2-elm

基于 vue2 + vuex 构建一个具有 45 个页面的大型单页面应用

Language:VueLicense:GPL-2.0Stargazers:0Issues:0Issues:0

flowable-crack

flowble without idm-server

Language:JavaScriptStargazers:0Issues:0Issues:0

cooperative_scene_parsing

Code for NeurIPS 2018: Cooperative Holisctic Scene Understanding: Unifying 3D Object, Layout, and Camera Pose Estimation

License:MITStargazers:0Issues:0Issues:0

Fundamentals_of_Accelerated_Computing_C_Cplus

Nvdia DLI's course <Fundamentals of Accelerated Computing C/C++>

Stargazers:0Issues:0Issues:0

webSocket_Libevent_ThreadPool

基于Libevent库与线程池编写的简单WebSocket服务器与客服端

Stargazers:0Issues:0Issues:0

CrazyWorkflowHandoutsActiviti6

《疯狂工作流讲义(第 2 版)基于 Activiti6.X》作者:杨恩雄

Language:JavaLicense:MITStargazers:0Issues:0Issues:0

imm

Code for unsupervised learning of object landmarks as proposed in "Unsupervised Learning of Object Landmarks through Conditional Image Generation", Tomas Jakab*, Ankush Gupta*, Hakan Bilen, Andrea Vedaldi, Advances in Neural Information Processing Systems (NeurIPS) 2018.

Stargazers:0Issues:0Issues:0

deep_flow_control

Source code for "Deep Dynamical Modeling and Control of Unsteady Fluid Flows" from NeurIPS 2018

Stargazers:0Issues:0Issues:0