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awesome-automl-and-lightweight-models

A list of high-quality (newest) AutoML works and lightweight models including 1.) Neural Architecture Search, 2.) Lightweight Structures, 3.) Model Compression, Quantization and Acceleration, 4.) Hyperparameter Optimization, 5.) Automated Feature Engineering.

awesome-blockchains

A collection about awesome blockchains - open distributed public databases w/ crypto hashes incl. git ;-). Blockchains are the new tulips :tulip::tulip::tulip:. Distributed is the new centralized.

awesome-ml-model-compression

Awesome machine learning model compression research papers, tools, and learning material.

awesome-model-compression-and-acceleration

a list of awesome papers on deep model ompression and acceleration

awesome-model-compression-and-acceleration-1

blockchain

A simple Blockchain in Python

blockchain-papers

A curated list of academic blockchain-related papers

blockchain_conference_paper

The existed blockchain-related academic papers. All papers are sorted according the conference and publihed year.

blockchain_go

A simplified blockchain implementation in Golang

brpc

brpc is an Industrial-grade RPC framework using C++ Language, which is often used in high performance system such as Search, Storage, Machine learning, Advertisement, Recommendation etc. "brpc" means "better RPC".

ccf-bdci-sentiment-analysis-baseline

The code for CCF-BDCI-Sentiment-Analysis-Baseline

decompose-cnn

CP and Tucker decomposition for Convolutional Neural Networks

deeplearning-practices

My deepLearning practices

distilling-the-knowledge-in-neural-network

Teaches a student network from the knowledge obtained via training of a larger teacher network

dlflow

DLFlow is a deep learning framework.

gan

Resources and Implementations of Generative Adversarial Nets: GAN, DCGAN, WGAN, CGAN, InfoGAN

gnnpapers

Must-read papers on graph neural networks (GNN)

intelettree

Programm skills improved

kubernetes

Production-Grade Container Scheduling and Management

leetcode

LeetCode刷题记录

linksofganrelatedpaperandcodes

The classical paper list with code about generative adversarial nets

model-compression-papers

Papers for deep neural network compression and acceleration

reactnet

ReActNet: Towards Precise Binary NeuralNetwork with Generalized Activation Functions. In ECCV 2020.

sigdl

Deep Learning Compression and Acceleration SDK -- deep model compression for Edge and IoT embedded systems, and deep model acceleration for clouds and private servers

tensornet

tf2-gan

multiple GANs implmentation by Tensorflow(2.0)

top-blockchain-paper

Top Blockchain paper, such as CCS, NSDI, S&P, EuroS&P, INFOCOM, etc.

transformers

🤗 Transformers: State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch.