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aaai_melding_code

Code the AAAI 2019 paper "Melding the Data-Decisions Pipeline: Decision-Focused Learning for Combinatorial Optimization"

aaai_predit_then_optimize

Code release for AAAI 2020 paper "Smart Predict-and-Optimize for Hard Combinatorial Optimization Problems"

agni

Code and supplementary materials for Agni - forest fire prediction

assembly101-action-anticipation

Code and models for the Action Anticipation benchmark of Assembly101

assembly101-action-recognition

Code and models for the Action Recognition benchmark of Assembly101

attention-learn-to-route

Attention based model for learning to solve different routing problems

automata

A Python library for simulating finite automata, pushdown automata, and Turing machines

awesome-imbalanced-learning

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

awesome-longtailed-learning

A codebase and a curated list of awesome deep long-tailed learning.

awesome-ml4co

Awesome machine learning for combinatorial optimization papers.

awesome-temporal-action-detection-temporal-action-proposal-generation

Temporal Action Detection & Weakly Supervised Temporal Action Detection & Temporal Action Proposal Generation

awesome-temporal-action-segmentation

A curated list of awesome temporal action segmentation resources.

c2f-tcn

Official implementation of Coarse to Fine Multi-Resolution Temporal Convolutional Network for Temporal Action Segmentation

calibration_library

Pytorch library for model calibration metrics and visualizations as well as recalibration methods. In progress!

cs3243-notes.github.io

Course notes for CS3243: Introduction to AI.

cs5242-video-captioning

cs6216_project

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

deeponeclass

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.

distillation

encode-attend-navigate

Learning Heuristics for the TSP by Policy Gradient

graph-convnet-tsp

Code for the paper 'An Efficient Graph Convolutional Network Technique for the Travelling Salesman Problem' (INFORMS Annual Meeting Session 2019)

graph_convolutional_lstm

Traffic Graph Convolutional Recurrent Neural Network

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

ilop

Algorithms for solving Inverse Linear Optimization Problem (ILOP)

iqa-pytorch

PyTorch Toolbox for Image Quality Assessment, including LPIPS, FID, NIQE, NRQM(Ma), MUSIQ, NIMA, DBCNN, WaDIQaM, BRISQUE, PI and more...

justicia

A formal approach for verifying fairness in machine learning.

labelranker

This project includes two state-of-the-art label ranking algorithms, i.e., label ranking with random forest and Gaussian mixture model respectively.

labelranking

Label Ranking algorithms & data sets

layer_augmentation

Implementation of the NLI model in our ACL 2019 paper: Augmenting Neural Networks with First-order Logic.