windatm

windatm's Stars

• mintisan/awesome-kan

  A comprehensive collection of KAN(Kolmogorov-Arnold Network)-related resources, including libraries, projects, tutorials, papers, and more, for researchers and developers in the Kolmogorov-Arnold Network field.

  2.3k215

• kzl/decision-transformer

  Official codebase for Decision Transformer: Reinforcement Learning via Sequence Modeling.

  Language:Python2.3k441

• facebookresearch/online-dt

  Online Decision Transformer

  Language:Python23030

• ggandara13/IE-Telecom-MobilityPrediction

  Language:Jupyter Notebook1

• SunsetRay/RLMob

  Artifact for WSDM'22 Paper-RLMob: Deep Reinforcement Learning for Successive Mobility Prediction

  Language:Python7

• Chengyui/SUMformer

  Rethinking Urban Mobility Prediction: A Super-Multivariate Time Series Forecasting Approach (SUMformer)

  Language:Python12

• ZPGuiGroupWhu/Human-Mobility-Analysis

  A toolkit and models for individual and crowd level human mobility analysis based on trajectory data, including travel destination prediction, travel spatiotemporal and semantic features calculations (e.g., entropy, radius of gyration, motif ratio, travel rhythm, etc), driving characters and dispositions.

  Language:JavaScript3414

• caoji2001/LP-BERT

  Human Mobility Prediction Challenge: Next Location Prediction using Spatiotemporal BERT

  Language:Python83

• mbc96325/IOHMM-for-individual-mobility-prediction

  Input-output hidden markov model for individual mobility prediction with interpretability

  Language:Python62

• YihongT/HGARN

  PyTorch implementation of "HGARN: Hierarchical Graph Attention Recurrent Network for Human Mobility Prediction".

  Language:Python192

• unimib-datAI/Smart-Mobility-Prediction

  Language:Python143

• urbanmobility/Awesome-Urban-Mobility-Prediction

  This is a list of useful information about urban mobility prediction. Related papers, datasets and codes are included.

  204

• google-research/tuning_playbook

  A playbook for systematically maximizing the performance of deep learning models.

  26.5k2.2k

• shaeferd/Phishing-Detection

  Phishing Detection System using Natural Language Processing and Machine Learning

  Language:Jupyter Notebook127

• sohailahmedkhan/Phishing-Websites-Classification-using-Deep-Learning

  A detailed comparison of performance scores achieved by Machine Learning and Deep Learning algorithms on 3 different Phishing datasets. 3 different feature selection and 2 different dimensionality reduction techniques are used for comparison.

  Language:Jupyter Notebook1610

• MJafarMashhadi/Haplophysh

  🎣 Using deep learning (word level and character level embeddings combined with GRU layers) to detect Phishing using the URL

  Language:Jupyter Notebook1810

• vaibhavbichave/Phishing-URL-Detection

  Phishers use the websites which are visually and semantically similar to those real websites. So, we develop this website to come to know user whether the URL is phishing or not before using it. URL - http://phishing-url-detector-api.herokuapp.com/

  Language:Jupyter Notebook12689

• IBM/nlc-email-phishing

  Detect email phishing with Watson Natural Language Classifier

  Language:CSS3333

• philomathic-guy/Malicious-Web-Content-Detection-Using-Machine-Learning

  Chrome extension for detecting phishing web sites

  Language:Python23376

• picopalette/phishing-detection-plugin

  A lite chrome extension for detecting phishing sites using random forest classifier

  Language:JavaScript6720