williamzheng0711

williamzheng0711's Stars

• williamzheng0711/linked-loop-code

  Repository for "linked-loop code", a practial coding scheme in [EUSIPCO 23, ICASSP 24] "Coding for the unsourced A-channel with erasures: the linked loop code"

  Language:Python1

• lesliepy99/RAG-EDA

  82

• banesullivan/README

  📄 How to write a good README

  5520

• epfml/ChocoSGD

  Decentralized SGD and Consensus with Communication Compression: https://arxiv.org/abs/1907.09356

  Language:Python6317

• optsuite/OptM

  A feasible method for optimization with orthogonality constraints

  Language:MATLAB3711

• LuminLiu/HierFL

  Implementation of paper "Client-Edge-Cloud Hierarchical Federated Learning

  Language:Python10531

• roboticcam/machine-learning-notes

  My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(2000+页)和视频链接

  Language:Jupyter Notebook8.4k1.7k

• adap/flower

  Flower: A Friendly Federated AI Framework

  Language:Python5k861

• Adirlou/OptML_Project

  Mini Project for the "Optimization for Machine Learning" class at EPFL

  Language:Jupyter Notebook1

• asl-epfl/inference-learning-data-2022-python

  This page contains Python codes for the chapters appearing in all 3 volumes of the work "Sayed, Ali. H., Inference and Learning from Data, vols. 1-3, Cambridge University Press, 2022". Matlab codes are also available. For additional information, visit the authors website.

  Language:Jupyter Notebook182

• chingyi071/ECC-over-GF2n

  Create a BCJR trellis from given parity check matrix

  Language:Python53

• typst/typst

  A new markup-based typesetting system that is powerful and easy to learn.

  Language:Rust34.4k913

• LeiDu-dev/FedSGD

  Federated learning via stochastic gradient descent

  Language:Python294

• matplotlib/cheatsheets

  Official Matplotlib cheat sheets

  Language:Python7.3k884

• iBreaker/book

  收集专业书籍 <欢迎提交>

  476187

• networkx/networkx

  Network Analysis in Python

  Language:Python14.9k3.2k

• vamsi128/CCS-AMP-Code

  Python implementation of enhanced CCS-AMP

  Language:Jupyter Notebook5

• mli/paper-reading

  深度学习经典、新论文逐段精读

  26.8k2.4k

• xiangzejun/binary_matrix

  Calculate Rank, determinant and inverse matrix of a binary matrix (matrix on $F_2$).

  Language:Python61

• ritvikmath/Time-Series-Analysis

  code and data for the time series analysis vids on my YouTube channel

  Language:Jupyter Notebook665663

• xiaotudui/pytorch-tutorial

  PyTorch深度学习快速入门教程（绝对通俗易懂！）

  Language:Python2.7k622

• newmarcel/KeepingYouAwake

  Prevents your Mac from going to sleep.

  Language:Objective-C5.6k220

• SheffieldML/GPy

  Gaussian processes framework in python

  Language:Python2k561

• gpschool/gpss20

  Gaussian Process and Uncertainty Quantification Summer School 2020

  Language:HTML336

• unit8co/darts

  A python library for user-friendly forecasting and anomaly detection on time series.

  Language:Python8k871

• kuangliu/pytorch-cifar

  95.47% on CIFAR10 with PyTorch

  Language:Python6k2.1k

• AItransCompetition/Live-Video-Streaming-Challenge

  ACM MULTIMEDIA 2019 Grand Challenge

  Language:Python5244

• fayeed/dash_chat

  The most complete Chat UI for flutter highly customizable and helps developing chat UI faster.

  Language:Dart445211