nakranirudh

nakranirudh's Stars

• pritamqu/ppg2ecg-cardiogan

  CardioGAN - AAAI 2021

  Language:Python4815

• DebadityaQU/RDDM

  In this work, we introduce Region-Disentangled Diffusion Model (RDDM), a novel diffusion model designed to capture the complex temporal dynamics of ECG.

  Language:Python241

• pulselabteam/PulseDB

  Language:Python299

• synxlin/nn-compression

  A Pytorch implementation of Neural Network Compression (pruning, deep compression, channel pruning)

  Language:Python15226

• fra31/auto-attack

  Code relative to "Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks"

  Language:Python619111

• cam-cambridge/caxton

  Accompanying code to the publication: "Generalisable 3D Printing Error Detection and Correction via Multi-Head Neural Networks"

  Language:Python4723

• joanna-/3D-Printing-Data

  This repository contains data gathered from 3D printing machine with different printing failures.

  Language:Jupyter Notebook146

• gmh14/RobNets

  [CVPR 2020] When NAS Meets Robustness: In Search of Robust Architectures against Adversarial Attacks

  Language:Python12315

• ethereum/eth-tester

  Tool suite for testing ethereum applications.

  Language:Python348133

• paritytech/polkadot-sdk

  The Parity Polkadot Blockchain SDK

  Language:Rust1.6k561

• ethereum/py-geth

  Python wrapping for running Go-Ethereum as a subprocess

  Language:Python98217

• anders94/blockchain-demo

  A web-based demonstration of blockchain concepts.

  Language:Pug5.1k2.6k

• anders94/public-private-key-demo

  Demonstrates public / private key pairs and signing in a blockchain context. This is part 2 of my Blockchain 101 video explainer.

  Language:JavaScript545421

• mit-han-lab/apq

  [CVPR 2020] APQ: Joint Search for Network Architecture, Pruning and Quantization Policy

  Language:Python15631

• mit-han-lab/haq

  [CVPR 2019, Oral] HAQ: Hardware-Aware Automated Quantization with Mixed Precision

  Language:Python35785

• mit-han-lab/amc

  [ECCV 2018] AMC: AutoML for Model Compression and Acceleration on Mobile Devices

  Language:Python421108

• leuchine/blockchainDB

  Implement a blockchain data structure using database

  Language:Python2

• Harry24k/adversarial-attacks-pytorch

  PyTorch implementation of adversarial attacks [torchattacks].

  Language:Python1.8k337

• km2411/p2p-blockchain-simulator

  Simulation of a P2P Cryptocurrency Network

  Language:Python10

• codingBeast25/Blockchain-based-File-Storage

  Upload and download files using flask. Files and transactions are stored using blockchain.

  Language:Python3327

• smartcontractkit/full-blockchain-solidity-course-py

  Ultimate Solidity, Blockchain, and Smart Contract - Beginner to Expert Full Course | Python Edition

  10.7k2.9k

• PatrickAlphaC/web3_py_simple_storage

  Language:Python4678

• etherparty/explorer

  A lightweight ethereum block explorer

  Language:JavaScript630398

• UCMerced-ML/LC-model-compression

  Model compression by constrained optimization, using the Learning-Compression (LC) algorithm

  Language:Python6517

• AngusG/cleverhans-attacking-bnns

  Source for paper "Attacking Binarized Neural Networks"

  Language:Python232

• skmhrk1209/QuanTorch

  PyTorch implementation of "Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference"

  Language:Python518

• deep-fry/mayo

  Mayo: Auto-generation of hardware-friendly deep neural networks. Dynamic Channel Pruning: Feature Boosting and Suppression.

  Language:Python11319

• bet02024/FaceRecognition_Ethereum_protocol

  Face Recognition Protocol, PoC, Solidity, IPFS, Ethereum, NodeJs, Python, TensorFlow

  Language:Jupyter Notebook62

• csyhhu/Awesome-Deep-Neural-Network-Compression

  Summary, Code for Deep Neural Network Quantization

  Language:Python51681

• JJGO/shrinkbench

  PyTorch library to facilitate development and standardized evaluation of neural network pruning methods.

  Language:Python41874