12346666's repositories
neurips-18-prosthetics-challenge
NeurIPS 2018: AI for Prosthetics Challenge – 3rd place solution
simple-effective-text-matching
Source code of the ACL2019 paper "Simple and Effective Text Matching with Richer Alignment Features".
tagan
An official PyTorch implementation of the paper "Text-Adaptive Generative Adversarial Networks: Manipulating Images with Natural Language", NeurIPS 2018
models
Models and examples built with TensorFlow
TDengine
An open-source big data platform designed and optimized for the Internet of Things (IoT).
DNNLibrary
Daquexian's NNAPI Library. ONNX + Android NNAPI
DCL
Destruction and Construction Learning for Fine-grained Image Recognition
bpmn-js-examples
Some examples how to use bpmn-js
GloRe
Global Reasoning module for visual recognition
java-jwt
Java implementation of JSON Web Token (JWT)
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
Python
All Algorithms implemented in Python
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.
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
KDD2019-MEIRec
KDD2019-Metapath-guided Heterogeneous Graph Neural Network for Intent Recommendation
tpprl
Code and data for "Deep Reinforcement Learning of Marked Temporal Point Processes", NeurIPS 2018
NetWalk
Implementation of the Paper(KDD'18) NetWalk: A Flexible Deep Embedding Approach for Anomaly Detection in Dynamic Networks.
vue2-elm
基于 vue2 + vuex 构建一个具有 45 个页面的大型单页面应用
flowable-crack
flowble without idm-server
cooperative_scene_parsing
Code for NeurIPS 2018: Cooperative Holisctic Scene Understanding: Unifying 3D Object, Layout, and Camera Pose Estimation
Fundamentals_of_Accelerated_Computing_C_Cplus
Nvdia DLI's course <Fundamentals of Accelerated Computing C/C++>
webSocket_Libevent_ThreadPool
基于Libevent库与线程池编写的简单WebSocket服务器与客服端
CrazyWorkflowHandoutsActiviti6
《疯狂工作流讲义(第 2 版)基于 Activiti6.X》作者:杨恩雄
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.
deep_flow_control
Source code for "Deep Dynamical Modeling and Control of Unsteady Fluid Flows" from NeurIPS 2018