Pytorch implementation of various Knowledge Distillation (KD) methods.
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Updated
Nov 25, 2021 - Python
Pytorch implementation of various Knowledge Distillation (KD) methods.
Official PyTorch implementation of "A Comprehensive Overhaul of Feature Distillation" (ICCV 2019)
DALI: a large Dataset of synchronised Audio, LyrIcs and vocal notes.
Improving Multi-hop Knowledge Base Question Answering by Learning Intermediate Supervision Signals. WSDM 2021.
[ICLR 2021 Spotlight Oral] "Undistillable: Making A Nasty Teacher That CANNOT teach students", Haoyu Ma, Tianlong Chen, Ting-Kuei Hu, Chenyu You, Xiaohui Xie, Zhangyang Wang
PyTorch implementation of "Distilling the Knowledge in a Neural Network"
Deep Neural Network Compression based on Student-Teacher Network
[ICLR 2022 workshop PAIR^2Struct] Sparse Logits Suffice to Fail Knowledge Distillation
The Pytorch implementation of Graph convolution network (Kipf et.al. 2017) with vanilla Teacher-Student architecture of knowledge distillation (Hinton et.al 2015).
An Exams Result Management Database for Teacher to handle easier and faster student results, including overview, simulation and result calculation
REST API in Django using Django REST Framework.
The main objective of this repository is to become familiar with the task of Domain Adaptation applied to the Real-time Semantic Segmentation networks.
Implementação do Framework Professor-Aluno aplicado ao desafio Cart-Pole, usando python, tensorflow e gym.
Student Teacher interactive platform
Your classroom inside telegram.
Code for our JSTARS paper "Semi-MCNN: A semisupervised multi-CNN ensemble learning method for urban land cover classification using submeter HRRS images"
tinydogBIGDOG uses gpt4all and openai api calls to create a consistent and persistent chat agent. choosing between the "tiny dog" or the "big dog". Two dogs with a single bark.
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