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abcpruner

Pytorch implementation of our IJCAI 2020 -- Channel Pruning via Automatic Structure Search

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.

activiti-in-action-codes

Activiti官方唯一推荐中文书籍——《Activiti实战》示例源码

addernet

Code for paper " AdderNet: Do We Really Need Multiplications in Deep Learning?"

asg2cap

Code accompanying the paper "Say As You Wish: Fine-grained Control of Image Caption Generation with Abstract Scene Graphs" (Chen et al., CVPR 2020, Oral).

autosmart

bpmn-js-examples

Some examples how to use bpmn-js

cnn_tkdv

Using Machine Learning to Predict Extreme Events in Complex Systems

cooperative_scene_parsing

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

crazyworkflowhandoutsactiviti6

《疯狂工作流讲义（第 2 版）基于 Activiti6.X》作者：杨恩雄

cvpr2020-code

CVPR 2020 论文开源项目合集

cvpr2020-paper-code-interpretation

cvpr2020/cvpr2019／cvpr2018/cvpr2017 papers，极市团队整理

dcl

Destruction and Construction Learning for Fine-grained Image Recognition

deep_flow_control

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

deepinf

DeepInf: Social Influence Prediction with Deep Learning

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[email protected] 版权所有，违权必究 Tan 2018.06

dialog-to-action

The code for the 2018 NeurIPS paper "Dialog-to-Action: Conversational Question Answering Over a Large-Scale Knowledge Base"

disease-control

Code and data for "Stochastic Optimal Control of Epidemic Processes in Networks", ML4H at NeurIPS 2018

dnnlibrary

Daquexian's NNAPI Library. ONNX + Android NNAPI

dqn-ddpg_stock_trading

Using DQN/DDPG for stock trading. Xiong, Z., Liu, X.Y., Zhong, S., Yang, H. and Walid, A., 2018. Practical deep reinforcement learning approach for stock trading, NeurIPS 2018 AI in Finance Workshop.

efficient_nonmyopic_active_search

Code for three papers on active search published at ICML2017, NeurIPS2018, NeurIPS2019

evolutionary-reinforcement-learning

Codebase for Evolutionary Reinforcement Learning (ERL) from the paper "Evolution-Guided Policy Gradients in Reinforcement Learning" published at NeurIPS 2018

exact-k-recommendation

exp

Experiments done for experience

fairmot

A simple baseline for one-shot multi-object tracking

flowable-crack

flowble without idm-server

flowable-userguide

flowable-userguide translate to zh_CN

ft-tree

fundamentals_of_accelerated_computing_c_cplus

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

game