Here are
11 public repositories
matching this topic...
Recommendation Algorithm大规模推荐算法库,包含推荐系统经典及最新算法LR、Wide&Deep、DSSM、TDM、MIND、Word2Vec、Bert4Rec、DeepWalk、SSR、AITM,DSIN,SIGN,IPREC、GRU4Rec、Youtube_dnn、NCF、GNN、FM、FFM、DeepFM、DCN、DIN、DIEN、DLRM、MMOE、PLE、ESMM、ESCMM, MAML、xDeepFM、DeepFEFM、NFM、AFM、RALM、DMR、GateNet、NAML、DIFM、Deep Crossing、PNN、BST、AutoInt、FGCNN、FLEN、Fibinet、ListWise、DeepRec、ENSFM,TiSAS,AutoFI…
Updated
Apr 2, 2025
Python
An easy-to-use framework for large scale recommendation algorithms.
Updated
Mar 28, 2026
Python
Updated
Mar 21, 2026
Python
Official PyTorch Repository of "Task Discrepancy Maximization for Fine-grained Few-Shot Classification" (TDM, CVPR 2022 Oral Paper)
Updated
Nov 21, 2023
Python
This modules allows accessing Labview TDM/TDX files to be accessed like numpy structured arrays.
Updated
Mar 28, 2024
Python
A Python package to interact with the Springer Nature API for fetching metadata, open access articles, and text & data mining (TDM) content.
Updated
Jan 29, 2026
Python
Concept demonstration of Adversarial Prompt Vaccination (APV) — a self-healing framework for Large Language Models (LLMs) that uses adversarial prompt synthesis and micro-updates for continuous alignment and safety improvement.
Updated
Oct 31, 2025
Python
Modular Python framework for Population PK/PD modeling
Updated
Mar 7, 2026
Python
Bayesian Model-Informed Precision Dosing (MIPD) platform with Adaptive Algorithms for Vancomycin tailored to the Vietnamese population.
Updated
Mar 20, 2026
Python
A simple TDM app where you can ask about the current weather.
Updated
Oct 26, 2020
Python
An open-source framework to automate common Test Data Management (TDM) tasks. Built by practitioners, for practitioners.
Updated
Mar 25, 2026
Python
Improve this page
Add a description, image, and links to the
tdm
topic page so that developers can more easily learn about it.
Curate this topic
Add this topic to your repo
To associate your repository with the
tdm
topic, visit your repo's landing page and select "manage topics."
Learn more
You can’t perform that action at this time.