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A playbook for systematically maximizing the performance of deep learning models.
Disjoint-CNN for Multivariate Time Series Classification
RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.
Multivariate LSTM Fully Convolutional Networks for Time Series Classification
Implementation of the paper "Context Consistency Regularization for Label Sparsity in Time Series" (ICML'23)
A toolkit for machine learning from time series
Codebase for the paper LSTM Fully Convolutional Networks for Time Series Classification
Conversion of the original code to work in Python3
Deep learning framework for wearable activity recognition based on convolutional and LSTM recurretn layers
Sequence modeling benchmarks and temporal convolutional networks https://github.com/locuslab/TCN
Semi supervised learning framework of Python.
基于演化计算方法的旅行商问题求解，以中国34个城市为例，具体通过遗传进化算法、粒子群优化算法、蚁群优化算法和差分进化算法来实现。
A fun study of some heuristics for the Travelling Salesman Problem.
This project is to compare between 4 algorithms: Brute Force, Nearest Neighbor, Nearest Insertion and 2-OPT for the Travelling Saleman Problem.
Optimizing the Travelling Salesman Problem for Brazil and Burma using Evolutionary Algorithms with Varied Operators and Parameters
Multi-rendezvous Spacecraft Trajectory Optimization with Beam P-ACO
A Genetic Algorithm Framework in Python (not for production level)
Implementation of ABC, AS and ACS algorithms in Matlab.
This project is an extension of my Senior project to take the metaheuristic method called the Walrus Optimization Algorithm (WaOA) and develop a set-based version of it to solve the problem of orde…
Implementation of the Donkey and Smuggler Optimization algorithm for dynamic traffic routing. Finds the shortest path in a graph network and changes the optimum path adaptively.
An example of time series augmentation methods with Keras
[TPAMI 2023] Self-supervised Contrastive Representation Learning for Semi-supervised Time-Series Classification
Codebase for the Paper "Deep Semi-supervised Learning (SSL) for Time Series Classification (TSC)" to appear at the ICMLA '21
Code for our paper Self Supervised Learning for Semi Supervised Time Series Classification PAKDD 2020