YoungAdvance

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

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.

YoungAdvance/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.

YoungAdvance/ABCPruner

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

YoungAdvance/AdderNet

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

YoungAdvance/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).

YoungAdvance/CNN_tKdV

Using Machine Learning to Predict Extreme Events in Complex Systems

YoungAdvance/CVPR2020-Code

CVPR 2020 论文开源项目合集

YoungAdvance/CVPR2020-Paper-Code-Interpretation

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

YoungAdvance/Dialog-to-Action

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

YoungAdvance/disease-control

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

YoungAdvance/efficient_nonmyopic_active_search

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

YoungAdvance/Evolutionary-Reinforcement-Learning

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

YoungAdvance/exact-k-recommendation

YoungAdvance/exp

Experiments done for experience

YoungAdvance/FairMOT

A simple baseline for one-shot multi-object tracking

YoungAdvance/Gated-Spatio-Temporal-Energy-Graph

[CVPR'19] [PyTorch] Gated Spatio Temporal Energy Graph

YoungAdvance/ghostnet

[CVPR2020] Surpassing MobileNetV3: "GhostNet: More Features from Cheap Operations"

YoungAdvance/graph_nn

Graph Classification with Graph Convolutional Networks in PyTorch (NeurIPS 2018 Workshop)

YoungAdvance/Human-Gaze-Communication

YoungAdvance/Image_Harmonization_Datasets

Benchmark datasets and code used in our paper "DoveNet: Deep Image Harmonization via Domain Verification", CVPR2020. Useful for Image harmonization, image composition/compositing, etc.

YoungAdvance/interfacegan

Code for paper `Interpreting the Latent Space of GANs for Semantic Face Editing`

YoungAdvance/interview

📚 C/C++ 技术面试基础知识总结，包括语言、程序库、数据结构、算法、系统、网络、链接装载库等知识及面试经验、招聘、内推等信息。This repository is a summary of the basic knowledge of recruiting job seekers and beginners in the direction of C/C++ technology, including language, program library, data structure, algorithm, system, network, link loading library, interview experience, recruitment, recommendation, etc.

YoungAdvance/KDEm

This repository includes data and code for the algorithm of Kernel Density Estimation from Multiple Sources (KDEm) proposed in a KDD'16 paper

YoungAdvance/MultiObjectiveOptimization

Source code for Neural Information Processing Systems (NeurIPS) 2018 paper "Multi-Task Learning as Multi-Objective Optimization"

YoungAdvance/pytorch-openpose

pytorch implementation of openpose including Hand and Body Pose Estimation.

YoungAdvance/RecommenderSystems

YoungAdvance/SEAL

SEAL (learning from Subgraphs, Embeddings, and Attributes for Link prediction). "M. Zhang, Y. Chen, Link Prediction Based on Graph Neural Networks, NeurIPS 2018 spotlight".

YoungAdvance/speaker_follower

Code release for Fried et al., Speaker-Follower Models for Vision-and-Language Navigation. in NeurIPS, 2018.

YoungAdvance/streetlearn

A C++/Python implementation of the StreetLearn environment based on images from Street View, as well as a TensorFlow implementation of goal-driven navigation agents solving the task published in “Learning to Navigate in Cities Without a Map”, NeurIPS 2018

YoungAdvance/submit

YoungAdvance/uestc_Internet_plus_course_project

本人在大学期间所有课程课设和作业的代码和部分报告，包括【计算机组成与结构】、【计算机网络与通信技术】、【软件基础综合课程设计】、【互联网软件开发综合课程设计】、【数据挖掘与大数据分析】、【时间序列分析】、【机器学习】、【数据结构与算法】、【并行程序设计导论】、【计算机操作系统】、【计算机视觉】