dlwbm123 Goto Github PK

kt-pfl

kymatio

Wavelet scattering transforms in Python with GPU acceleration

l-dnq

Codes for AAAI2019 paper: Deep Neural Network Quantization via Layer-Wise Optimization using Limited Training Data

l-gcn

End-to-end learning on complex multi-edge graphs with latent-graph convolutional networks.

l2x

l3net

Graph Convolution with Low-rank Learnable Local Filters (ICLR 2021)

lanczosnetwork

Lanczos Network, Graph Neural Networks, Deep Graph Convolutional Networks, Deep Learning on Graph Structured Data, QM8 Quantum Chemistry Benchmark, ICLR 2019

lanes-capsnet

lasem

Code for the ICML 2021 paper "Sharing Less is More: Lifelong Learning in Deep Networks with Selective Layer Transfer"

latent-energy-transport

latentgnn-v1-pytorch

Implementation of “LatentGNN: Learning Efficient Non-local Relations for Visual Recognition”(ICML 2019)

layout2im

Official PyTorch Implementation of Image Generation from Layout - CVPR 2019

lbam_inpainting

Pytorch implementation of paper : Image Inpainting with Learnable Bidirectional Attention Map (ICCV, 2019)

learning-macroscopic-brain-connectomes-via-group-sparse-factorization

This repository includes the code release of the NeurIPS 2019 paper titled "Learning Macroscopic Brain Connectomes via Group-Sparse Factorization". It maps structural brain connectomes for living human brains.

learning-subspaces

learning_filter_basis

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

lidc-idri-processing

Scripts for the preprocessing of LIDC-IDRI data

lie-transformer-pytorch

Implementation of Lie Transformer, Equivariant Self-Attention, in Pytorch

light-weight-refinenet

Light-Weight RefineNet for Real-Time Semantic Segmentation

lightnet

loss-landscape

Code for visualizing the loss landscape of neural nets

lrslibrary

Low-Rank and Sparse Tools for Background Modeling and Subtraction in Videos

lsq-net

Unofficial implementation of LSQ-Net, a neural network quantization framework

lssae

The official implementation of paper "Generalizing to Evolving Domains with Latent Structure-Aware Sequential Autoencoder"

machine-learning

machine-learning-notes

My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (1000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(1000+页)和视频链接

mainsubsidarybnn

mammoth

An Extendible (General) Continual Learning Framework based on Pytorch - official codebase of Dark Experience for General Continual Learning

mar

mask-shadowgan

ICCV 2019