minghaoouutexas

minghaoouutexas's Stars

• codecrafters-io/build-your-own-x

  Master programming by recreating your favorite technologies from scratch.

  Language:Markdown308k5.4k68928.8k

• scutan90/DeepLearning-500-questions

  深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06

  Language:JavaScript54.8k2.2k18915.9k

• fastai/fastbook

  The fastai book, published as Jupyter Notebooks

  Language:Jupyter Notebook22k5082358.5k

• imarvinle/awesome-cs-books

  🔥 经典编程书籍大全，涵盖：计算机系统与网络、系统架构、算法与数据结构、前端开发、后端开发、移动开发、数据库、测试、项目与团队、程序员职业修炼、求职面试等

  17.6k244162.5k

• thunlp/GNNPapers

  Must-read papers on graph neural networks (GNN)

  16k601183k

• 521xueweihan/git-tips

  :trollface:Git的奇技淫巧

  15.6k330303.2k

• halfrost/Halfrost-Field

  ✍🏻 这里是写博客的地方 —— Halfrost-Field 冰霜之地

  Language:Go12.9k475371.9k

• yandexdataschool/nlp_course

  YSDA course in Natural Language Processing

  Language:Jupyter Notebook9.8k363462.6k

• khangich/machine-learning-interview

  Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.

  9.7k22341.6k

• lmcinnes/umap

  Uniform Manifold Approximation and Projection

  Language:Python7.4k127791808

• snorkel-team/snorkel

  A system for quickly generating training data with weak supervision

  Language:Python5.8k166980857

• bentrevett/pytorch-seq2seq

  Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

  Language:Jupyter Notebook5.4k651931.3k

• alirezadir/Machine-Learning-Interviews

  This repo is meant to serve as a guide for Machine Learning/AI technical interviews.

  Language:Jupyter Notebook4.8k785846

• rasbt/python-machine-learning-book-3rd-edition

  The "Python Machine Learning (3rd edition)" book code repository

  Language:Jupyter Notebook4.6k161892k

• OUCMachineLearning/OUCML

  Language:Python4.6k149101.3k

• alirezadir/Production-Level-Deep-Learning

  A guideline for building practical production-level deep learning systems to be deployed in real world applications.

  4.3k1663648

• karpathy/ng-video-lecture

  Language:Python3.6k5629923

• chiphuyen/ml-interviews-book

  https://huyenchip.com/ml-interviews-book/

  Language:HTML3.4k4614523

• wangshusen/DRL

  Deep Reinforcement Learning

  3.3k4255588

• kirang89/pycrumbs

  Bits and bytes of Python from the Internet

  3.2k2878682

• andrewekhalel/MLQuestions

  Machine Learning and Computer Vision Engineer - Technical Interview Questions

  3k282503

• fastai/course22

  The fast.ai course notebooks

  Language:Jupyter Notebook2.5k5072972

• dipjul/Grokking-the-Coding-Interview-Patterns-for-Coding-Questions

  Grokking the Coding Interview: Patterns for Coding Questions Alternative

  2.3k206553

• b7leung/MLE-Flashcards

  200+ detailed flashcards useful for reviewing topics in machine learning, computer vision, and computer science.

  2k332177

• safe-graph/graph-fraud-detection-papers

  A curated list of graph-based fraud, anomaly, and outlier detection papers & resources

  1.4k554254

• flycash/interview-baguwen

  面试八股文

  1.1k4912267

• dennybritz/rnn-tutorial-rnnlm

  Recurrent Neural Network Tutorial, Part 2 - Implementing a RNN in Python and Theano

  Language:Jupyter Notebook8965018468

• AssemblyAI-Community/Machine-Learning-From-Scratch

  Implementation of popular ML algorithms from scratch

  Language:Python726145233

• ajhalthor/Transformer-Neural-Network

  Code Transformer neural network components piece by piece

  Language:Jupyter Notebook296129157

• eliben/deep-learning-samples

  Sample code for deep learning & neural networks

  Language:Python17017059