lilujunai Goto Github PK

kd-1

knowledge distillation for keti project

kd-ticket

kd_lib

A Pytorch Knowledge Distillation library for benchmarking and extending works in the domains of Knowledge Distillation, Pruning, and Quantization.

kd_methods_with_tf

Knowledge distillation methods implemented with Tensorflow (now there are 11 (+1) methods, and will be added more.)

kd_srrl

kegnet

Knowledge Extraction with No Observable Data (NeurIPS 2019)

keops

KErnel OPerationS, on CPUs and GPUs, with autodiff and without memory overflows

kervolution-pytorch

Pytorch Implementation of the Kernel Convolution AKA Kervolution Layer from Kervolutional Neural Networks (https://arxiv.org/pdf/1904.03955.pdf)

kesi

Knowledge distillation from Ensembles of Iterative pruning

kill-the-bits

Code for: "And the bit goes down: Revisiting the quantization of neural networks"

knapsack_pruning

Implementation of knapsack pruning

knapsack_pruning-1

knowledge-distillation-by-replacing-cheap-conv

In search of effective and efficient Pipeline for Distillating Knowledge in Convolutional Neural Networks

knowledge-distillation-experiments

knowledge-distillation-zoo

knowledge_distillation

knowledgedistillation

A general framework for knowledge distillation

kornia

Open Source Differentiable Computer Vision Library for PyTorch

kse

Exploiting Kernel Sparsity and Entropy for Interpretable CNN Compression

label-smoothing-visualization-pytorch

When Does Label Smoothing Help?_pytorch_implementationimp

label_smoothing_pytorch

pytorch implement of Label Smoothing

lambda-networks

Implementation of LambdaNetworks, a new approach to image recognition that reaches SOTA with less compute

lapran-pytorch

PyTorch implementation of the paper "LAPRAN: A Scalable Laplacian Pyramid Reconstructive Adversarial Network for Flexible Compressive Sensing Reconstruction"

ldam-drw

[NeurIPS 2019] Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss

learn-to-cluster

Learning to Cluster Faces (CVPR 2019, CVPR 2020)

learn2learn

PyTorch Meta-learning Framework for Researchers

learned-weight-sharing

Deep multi-task learning by optimizing weight sharing between networks using NES and SGD

learning_filter_basis

Pytorch implemenation of "Learning Filter Basis for Convolutional Neural Network Compression"

legonet

A Pytorch implementation of "LegoNet: Efficient Convolutional Neural Networks with Lego Filters" (ICML 2019).

legr

CNN channel pruning, LeGR, MorphNet, AMC. Codebase for paper "LeGR: Filter Pruning via Learned Global Ranking"