lebyni

PFA

continual-learning

PyTorch implementation of various methods for continual learning (XdG, EWC, online EWC, SI, LwF, DGR, DGR+distill, RtF, iCaRL).

fed-tuning

snn_train

train snn

AFN

(ICCV'19 Oral) Larger Norm More Transferable: An Adaptive Feature Norm Approach for Unsupervised Domain Adaptation

autoSubmit

北京大学疫情出入校自动填报

Batch-Spectral-Penalization

Code release for Transferability vs. Discriminability: Batch Spectral Penalization for Adversarial Domain Adaptation (ICML 2019)

batchnorm-pruning

Rethinking the Smaller-Norm-Less-Informative Assumption in Channel Pruning of Convolution Layers https://arxiv.org/abs/1802.00124

CDAN

Code release for "Conditional Adversarial Domain Adaptation" (NIPS 2018)

DANN_py3

python 3 pytorch implementation of DANN

distiller

Neural Network Distiller: a Python package for neural network compression research.

GradAttack

GradAttack is a Python library for easy evaluation of privacy risks in public gradients in Federated Learning, as well as corresponding mitigation strategies.

INQ-pytorch

A PyTorch implementation of "Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights"

learngit

lebyni.github.io

network-slimming

Network Slimming (Pytorch) (ICCV 2017)

packnet

Code for PackNet: Adding Multiple Tasks to a Single Network by Iterative Pruning

PADA

Code release for "Partial Adversarial Domain Adaptation" (ECCV 2018)

pytorch-book

PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation

pytorch-cnn-visualizations

Pytorch implementation of convolutional neural network visualization techniques

pytorch-pruning

PyTorch Implementation of [1611.06440] Pruning Convolutional Neural Networks for Resource Efficient Inference

SAN

Code release for "Partial Transfer Learning with Selective Adversarial Networks" (CVPR 2018)

SparseNet

Sparsely Aggreagated Convolutional Networks https://arxiv.org/abs/1801.05895