tclw123 Goto Github PK

aiinterview

算法工程师面试题整理

awesome-algorithm-interview

算法工程师(人工智能CV方向)面试问题及相关资料

awesome-federated-machine-learning

Everything about federated learning, including research papers, books, codes, tutorials, videos and beyond

awesome-super-resolution

Collect super-resolution related papers, data, repositories

caffe

Caffe for Sparse and Low-rank Deep Neural Networks

caffe_increg

IJCNN-19 "Structured Pruning for Efficient ConvNets via Incremental Regularization"; BMVC-18 "Structured probabilistic pruning for convolutional neural network acceleration"

caffe_spatial

cmaes

Python library for CMA Evolution Strategy.

collaborative-distillation

PyTorch code for our CVPR'20 paper "Collaborative Distillation for Ultra-Resolution Universal Style Transfer"

dataset_grouper

dense-block-pruning

a compression method of dense block

densenet

diff-global-pruning

efficientdnns

Collection of recent methods on DNN compression and acceleration

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

fedcorr

CVPR 2022: FedCorr: Multi-Stage Federated Learning for Label Noise Correction

federated-learning

联邦学习

federated-learning-pytorch

Implementation of Communication-Efficient Learning of Deep Networks from Decentralized Data

fedlab

A flexible Federated Learning Framework based on PyTorch, simplifying your Federated Learning research.

filter-pruning-geometric-median

Filter Pruning via Geometric Median for Deep Convolutional Neural Networks Acceleration (CVPR 2019 Oral)

fp8-quantization

gat

Graph Attention Networks (https://arxiv.org/abs/1710.10903)

import-opencv2-importerror-dll-load-fail

iqa-pytorch

PyTorch Toolbox for Image Quality Assessment, including LPIPS, FID, NIQE, NRQM(Ma), MUSIQ, NIMA, DBCNN, WaDIQaM, BRISQUE, PI and more...

kpsagan

lotteryfl

LotteryFL: Empower Edge Intelligence with Personalized and Communication-Efficient Federated Learning (2021 IEEE/ACM Symposium on Edge Computing)

mxnet

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

mygithub

niid-bench

Federated Learning on Non-IID Data Silos: An Experimental Study (ICDE 2022)

paper-writing-tips

Paper Writing Tips