bjwtsh

bjwtsh's Stars

• jgraph/drawio-desktop

  Official electron build of draw.io

  Language:JavaScript51.4k5.1k

• JYWa/FedNova

  PyTorch implementation of FedNova (NeurIPS 2020), and a class of federated learning algorithms, including FedAvg, FedProx.

  Language:Python20936

• hfutly66/LRQ

  1

• peiswang/BitSplit

  BitSplit Post-trining Quantization

  Language:Python477

• EndlessCheng/codeforces-go

  算法竞赛模板库 by 灵茶山艾府 💭💡🎈

  Language:Go5.4k587

• youngyangyang04/TechCPP

  【C++面试&C++学习指南】 这里整理了C++后端研发工程师面试和工作必备的知识点 。

  2.5k362

• Xilinx/AI-Engine-Test-Harness

  Language:C++61

• arc-research-lab/CHARM

  CHARM: Composing Heterogeneous Accelerators on Versal ACAP Architecture

  Language:C++12421

• XACCNUS/Job-Scheduler

  https://xaccnus.github.io/Job-Scheduler/

  Language:Shell3

• OI-wiki/OI-wiki

  :star2: Wiki of OI / ICPC for everyone. （某大型游戏线上攻略，内含炫酷算术魔法）

  Language:TypeScript21.6k4k

• Xilinx/xup_aie_training

  Hands-on experience programming AI Engines using Vitis Unified Software Platform

  Language:Jupyter Notebook389

• Zhen-Dong/HAWQ

  Quantization library for PyTorch. Support low-precision and mixed-precision quantization, with hardware implementation through TVM.

  Language:Python41882

• jessijzhao/FedCD

  FedCD: Improving Performance in non-IID Federated Learning

  Language:Jupyter Notebook13

• Ahmed-Roushdy/HeteroSAg-Secure-Aggregation-with-Heterogeneous-Quantization-in-Federated-Learning

  Language:Python4

• sunjunaimer/TPAMI-LAQ

  Python code for paper "Lazily Aggregated Quantized Gradient Innovation for Communication-Efficient Federated Learning"

  82

• bol-edu/course-lab_3

  Board: AlveoU50, Vitis version: 2022.1

  Language:C++22

• Xilinx/Vitis-AI-Tutorials

  406146

• aadityarock2000/Federated_Flower

  Implementation of Federated Learning using the Flower Framework

  Language:Python81

• jopasserat/federated-learning-tutorial

  Hands-on part of the Federated Learning and Privacy-Preserving ML tutorial given at VISUM 2022

  Language:Python51

• ekaksher/FedCTR

  CTR Prediction Model Developed In A Federated Setup On Avazu Dataset.

  Language:Python4

• mspronesti/beta-federated

  Federated Learning with flower and pytorch using a metaheuristic based on the beta distribution

  Language:Python6

• tensorly/tensorly

  TensorLy: Tensor Learning in Python.

  Language:Python1.6k289

• jacobgil/pytorch-tensor-decompositions

  PyTorch implementation of [1412.6553] and [1511.06530] tensor decomposition methods for convolutional layers.

  Language:Python27963

• exacity/deeplearningbook-chinese

  Deep Learning Book Chinese Translation

  Language:TeX35.9k9.1k