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deeplearningbook-chinese

Deep Learning Book Chinese Translation

nni

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

Language:PythonLicense:MITStargazers:13998Issues:284Issues:2083

python-machine-learning-book

The "Python Machine Learning (1st edition)" book code repository and info resource

Language:Jupyter NotebookLicense:MITStargazers:12234Issues:798Issues:56

NRLPapers

Must-read papers on network representation learning (NRL) / network embedding (NE)

snap

Stanford Network Analysis Platform (SNAP) is a general purpose network analysis and graph mining library.

Language:C++License:NOASSERTIONStargazers:2174Issues:177Issues:169

Note-by-LaTeX

《简单粗暴 LaTeX》出版图书开源仓库 | The opensource repo for my published LaTeX book.

federated-learning

A PyTorch Implementation of Federated Learning http://doi.org/10.5281/zenodo.4321561

Language:PythonLicense:MITStargazers:1250Issues:14Issues:27

fedlearner

A multi-party collaborative machine learning framework

Language:PythonLicense:Apache-2.0Stargazers:892Issues:28Issues:31

leaf

Leaf: A Benchmark for Federated Settings

Language:PythonLicense:BSD-2-ClauseStargazers:833Issues:22Issues:36

federated-learning

Everything about Federated Learning (papers, tutorials, etc.) -- 联邦学习

Platypus

A Free and Open Source Python Library for Multiobjective Optimization

Language:PythonLicense:GPL-3.0Stargazers:565Issues:19Issues:177

awesome-federated-computing

:books: :eyeglasses: A collection of research papers, codes, tutorials and blogs on Federated Computing/Learning.

License:CC0-1.0Stargazers:465Issues:35Issues:0

struc2vec

This repository provides a reference implementation of struc2vec.

Language:PythonLicense:MITStargazers:382Issues:13Issues:17

sparse-evolutionary-artificial-neural-networks

Always sparse. Never dense. But never say never. A Sparse Training repository for the Adaptive Sparse Connectivity concept and its algorithmic instantiation, i.e. Sparse Evolutionary Training, to boost Deep Learning scalability on various aspects (e.g. memory and computational time efficiency, representation and generalization power).

Language:PythonLicense:MITStargazers:241Issues:23Issues:2

pytorch-weights_pruning

PyTorch Implementation of Weights Pruning

fmtl

Federated Multi-Task Learning

Language:MATLABLicense:Apache-2.0Stargazers:129Issues:5Issues:6

snip-public

SNIP: SINGLE-SHOT NETWORK PRUNING BASED ON CONNECTION SENSITIVITY

Language:PythonLicense:MITStargazers:108Issues:8Issues:1

snip

Pytorch implementation of the paper "SNIP: Single-shot Network Pruning based on Connection Sensitivity" by Lee et al.

Language:PythonLicense:MITStargazers:101Issues:2Issues:6

MIDS

Deep Learning Recommender System

Language:PythonLicense:MITStargazers:54Issues:5Issues:1

SNIP-pruning

Reproduction and analysis of SNIP paper

Language:Jupyter NotebookStargazers:28Issues:1Issues:2

LargeScaleEvolution

Large scale evolution for optimization

Language:PythonLicense:BSD-3-ClauseStargazers:12Issues:0Issues:0

NRLPapers

Must-read papers on network representation learning (NRL) / network embedding (NE)

Language:TeXStargazers:2Issues:1Issues:0