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Xu Lan's Projects

ab_distillation icon ab_distillation

Knowledge Transfer via Distillation of Activation Boundaries Formed by Hidden Neurons (AAAI 2019)

attractionet icon attractionet

Attend Refine Repeat: Active Box Proposal Generation via In-Out Localization

caffe icon caffe

Caffe: a fast open framework for deep learning.

chatllama icon chatllama

ChatLLaMA 📢 Open source implementation for LLaMA-based ChatGPT runnable in a single GPU. 15x faster training process than ChatGPT

cite icon cite

Implementation for our paper "Conditional Image-Text Embedding Networks" (coming soon)

cmcl icon cmcl

This code is for the paper "Confident Multiple Choice Learning".

deeplearningstack icon deeplearningstack

A library for deep learning in Thenao. It allows easy definition of deep networks using XML configuration files. It includes different packages for convolutional networks and reinforcement learning.

distiller icon distiller

A large scale study of Knowledge Distillation.

drl-rpn-tf icon drl-rpn-tf

Official Tensorflow implementation of drl-RPN: Deep Reinforcement Learning of Region Proposal Networks (CVPR 2018 paper)

dsn icon dsn

Pytorch implementation of Domain Separation Networks

eas icon eas

Efficient Architecture Search by Network Transformation

enas-pytorch icon enas-pytorch

PyTorch implementation of "Efficient Neural Architecture Search via Parameters Sharing"

fast-mpn-cov icon fast-mpn-cov

@CVPR2018: Efficient unrolling iterative matrix square-root normalized ConvNets, implemented by PyTorch (and code of B-CNN,Compact bilinear pooling etc.) for training from scratch & finetuning.

fd-gan icon fd-gan

Pytorch implementation of feature distilling GAN for person reID. (NIPS18)

feat icon feat

The code repository for "Few-Shot Learning via Embedding Adaptation with Set-to-Set Functions"

gnnpapers icon gnnpapers

Must-read papers on graph neural networks (GNN)

imagecaptioning.pytorch icon imagecaptioning.pytorch

image captioning codebase in pytorch(finetunable cnn in branch "with_finetune", self-critical training is under my self-critical.pytorch repository.)

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