dyq0811

dyq0811's Stars

• donnemartin/system-design-primer

  Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

  Language:Python275k6.6k30146.2k

• pytorch/pytorch

  Tensors and Dynamic neural networks in Python with strong GPU acceleration

  Language:Python83.8k1.7k46.3k22.6k

• codepath/android_guides

  Extensive Open-Source Guides for Android Developers

  28.3k2.1k3796.3k

• shap/shap

  A game theoretic approach to explain the output of any machine learning model.

  Language:Jupyter Notebook22.8k2442.5k3.3k

• recommenders-team/recommenders

  Best Practices on Recommendation Systems

  Language:Python19.2k2758683.1k

• EthicalML/awesome-production-machine-learning

  A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

  17.6k405772.2k

• marcotcr/lime

  Lime: Explaining the predictions of any machine learning classifier

  Language:JavaScript11.6k2616341.8k

• kedro-org/kedro

  Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable, and modular.

  Language:Python9.9k1082k903

• shashank88/system_design

  Preparation links and resources for system design questions

  8.8k46242.5k

• interpretml/interpret

  Fit interpretable models. Explain blackbox machine learning.

  Language:C++6.3k144448729

• microsoft/QuantumKatas

  Tutorials and programming exercises for learning Q# and quantum computing

  Language:Jupyter Notebook4.5k2271671.2k

• microsoft/FLAML

  A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.

  Language:Jupyter Notebook3.9k59516509

• jphall663/awesome-machine-learning-interpretability

  A curated list of awesome responsible machine learning resources.

  3.7k13269588

• oegedijk/explainerdashboard

  Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.

  Language:Python2.3k22236332

• fairlearn/fairlearn

  A Python package to assess and improve fairness of machine learning models.

  Language:Python1.9k39467419

• microsoft/responsible-ai-toolbox

  Responsible AI Toolbox is a suite of tools providing model and data exploration and assessment user interfaces and libraries that enable a better understanding of AI systems. These interfaces and libraries empower developers and stakeholders of AI systems to develop and monitor AI more responsibly, and take better data-driven actions.

  Language:TypeScript1.4k31281362

• ternaus/TernausNet

  UNet model with VGG11 encoder pre-trained on Kaggle Carvana dataset

  Language:Python1k3116246

• oneTaken/awesome_deep_learning_interpretability

  深度学习近年来关于神经网络模型解释性的相关高引用/顶会论文(附带代码)

  738292123

• hardmaru/WorldModelsExperiments

  World Models Experiments

  Language:Jupyter Notebook6201729172

• ctallec/world-models

  Reimplementation of World-Models (Ha and Schmidhuber 2018) in pytorch

  Language:Python5681335132

• AnasImloul/Leetcode-Solutions

  A repository with over 7000 solutions to more than 1800 Leetcode problems written in C++, Python, Java, Javascript, Rust & Golang.

  Language:Java366110116

• zxjzxj9/PyTorchIntroduction

  《深入浅出 PyTorch——从模型到源码》源代码和勘误（见Issues）

  Language:Python333812105

• AppliedDataSciencePartners/WorldModels

  An implementation of the ideas from this paper https://arxiv.org/pdf/1803.10122.pdf

  Language:Jupyter Notebook280101787

• sksujan58/Multivariate-time-series-forecasting-using-LSTM

  Language:Jupyter Notebook2368795

• cosmicBboy/themis-ml

  A library that implements fairness-aware machine learning algorithms

  Language:Jupyter Notebook124122126

• xinjin/course-net

  Computer Networks @ Johns Hopkins University

  6118023

• matthewdgreen/blockchains

  Public repository for Blockchains and Cryptocurrencies (601.641/601.441) JHU (Fall 2020)

  561006

• microsoft/qio-samples

  Samples for using optimization solvers through Azure Quantum.

  Language:Python5016341

• MSRDL/TSA

  Time Series Anomaly Detection Toolkit

  Language:Jupyter Notebook22439

• rohit-sahoo/Multivariate_Timeseries_Forecasting_using_LSTM

  Language:Jupyter Notebook1100