There are 0 repository under knowledge-transfer topic.
Awesome Knowledge Distillation
Pytorch implementation of various Knowledge Distillation (KD) methods.
Official PyTorch implementation of "A Comprehensive Overhaul of Feature Distillation" (ICCV 2019)
PyContinual (An Easy and Extendible Framework for Continual Learning)
An Extensible Continual Learning Framework Focused on Language Models (LMs)
Code and dataset for ACL2018 paper "Exploiting Document Knowledge for Aspect-level Sentiment Classification"
This repository is mainly dedicated for listing the recent research advancements in the application of Self-Supervised-Learning in medical images computing field
Knowledge Transfer via Distillation of Activation Boundaries Formed by Hidden Neurons (AAAI 2019)
Code and pretrained models for paper: Data-Free Adversarial Distillation
[ECCV2022] Factorizing Knowledge in Neural Networks
[Paper][AAAI 2024] Structure-CLIP: Towards Scene Graph Knowledge to Enhance Multi-modal Structured Representations
Code for ECML/PKDD 2020 Paper --- Continual Learning with Knowledge Transfer for Sentiment Classification
PyTorch implementation of (Hinton) Knowledge Distillation and a base class for simple implementation of other distillation methods.
KT-BT: A Framework for Knowledge Transfer Through Behavior Trees in Multirobot Systems
Adaptive Model-based Transfer Evolutionary Algorithm
[NeurIPS'23] Source code of "Data-Centric Learning from Unlabeled Graphs with Diffusion Model": A data-centric transfer learning framework with diffusion model on graphs.
:drum: Teach a newbie how to perform better.
Learning in Growing Robots: Knowledge Transfer from Tadpole to Frog Robot
The Weizenbaum Institut „Knowledge Tool“ supports interdisciplinary debates by providing a workshop methodology based on predefined instructions and prefabricated workshop materials with the aim to structure and record multi-perspective exploration and analysis.
Multiple methods' implementations to transfer the knowledge between Neural Networks and save/plot/compare the results.
"Knowledge transfer in StackOverflow", a CSS seminar project by TUM students
Bonan & Samo. January 2023. Paper on cross-linguistic bias in health-related content in Transformer-based language models.
Repositorio del TFG Urban Street Mapping Transfer
Promote documentation best practices
This contains all of the experience of JET as a programmer from beginner to advance.
Knowledge transfer sessions I've presented.
🧠 A DNN that uses knowledge transfer to perform localization and an RNN that studies and generates texts, built for a university Deep Learning course
The idea is to use pretrained deep learning algorithms such as mobilenet to predict objects in a image.
Source code for KTP project on networks in project management.