pangzhan27 Goto Github PK
Name: Pang Zhanzhong
Type: User
Name: Pang Zhanzhong
Type: User
Code the AAAI 2019 paper "Melding the Data-Decisions Pipeline: Decision-Focused Learning for Combinatorial Optimization"
Code release for AAAI 2020 paper "Smart Predict-and-Optimize for Hard Combinatorial Optimization Problems"
Code and supplementary materials for Agni - forest fire prediction
Code and models for the Action Anticipation benchmark of Assembly101
Code and models for the Action Recognition benchmark of Assembly101
Attention based model for learning to solve different routing problems
A Python library for simulating finite automata, pushdown automata, and Turing machines
Everything about class-imbalanced/long-tail learning: papers, codes, frameworks, and libraries | 有关类别不平衡/长尾学习的一切:论文、代码、框架与库
A codebase and a curated list of awesome deep long-tailed learning.
Awesome machine learning for combinatorial optimization papers.
Temporal Action Detection & Weakly Supervised Temporal Action Detection & Temporal Action Proposal Generation
A curated list of awesome temporal action segmentation resources.
Official implementation of Coarse to Fine Multi-Resolution Temporal Convolutional Network for Temporal Action Segmentation
Pytorch library for model calibration metrics and visualizations as well as recalibration methods. In progress!
Course notes for CS3243: Introduction to AI.
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
Deep learning based one class classification code targeting one class image classification. Tests carried out on Abnormal image detection, Novel image detection and Active Authentication reported state of the art results.
Learning Heuristics for the TSP by Policy Gradient
Code for the paper 'An Efficient Graph Convolutional Network Technique for the Travelling Salesman Problem' (INFORMS Annual Meeting Session 2019)
Traffic Graph Convolutional Recurrent Neural Network
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
Algorithms for solving Inverse Linear Optimization Problem (ILOP)
PyTorch Toolbox for Image Quality Assessment, including LPIPS, FID, NIQE, NRQM(Ma), MUSIQ, NIMA, DBCNN, WaDIQaM, BRISQUE, PI and more...
A formal approach for verifying fairness in machine learning.
This project includes two state-of-the-art label ranking algorithms, i.e., label ranking with random forest and Gaussian mixture model respectively.
Label Ranking algorithms & data sets
Implementation of the NLI model in our ACL 2019 paper: Augmenting Neural Networks with First-order Logic.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.