AlxZed

AlxZed's Stars

• yangshun/tech-interview-handbook

  💯 Curated coding interview preparation materials for busy software engineers

  Language:TypeScript117k2.1k9614.6k

• papers-we-love/papers-we-love

  Papers from the computer science community to read and discuss.

  Language:Shell87.1k3.1k2385.7k

• donnemartin/interactive-coding-challenges

  120+ interactive Python coding interview challenges (algorithms and data structures). Includes Anki flashcards.

  Language:Python29.4k958684.4k

• ageron/handson-ml

  ⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.

  Language:Jupyter Notebook25.2k1.1k56212.9k

• ChristosChristofidis/awesome-deep-learning

  A curated list of awesome Deep Learning tutorials, projects and communities.

  23.7k1.2k216k

• norvig/pytudes

  Python programs, usually short, of considerable difficulty, to perfect particular skills.

  Language:Jupyter Notebook22.6k766372.4k

• shap/shap

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

  Language:Jupyter Notebook22.6k2412.5k3.3k

• zergtant/pytorch-handbook

  pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行

  Language:Jupyter Notebook20.2k531835.4k

• zziz/pwc

  This repository is no longer maintained.

  15.4k1.2k242.5k

• AkashSingh3031/The-Complete-FAANG-Preparation

  This repository contains all the DSA (Data-Structures, Algorithms, 450 DSA by Love Babbar Bhaiya, FAANG Questions), Technical Subjects (OS + DBMS + SQL + CN + OOPs) Theory+Questions, FAANG Interview questions, and Miscellaneous Stuff (Programming MCQs, Puzzles, Aptitude, Reasoning). The Programming languages used for demonstration are C++, Python, and Java.

  Language:Jupyter Notebook10.7k169412.4k

• guipsamora/pandas_exercises

  Practice your pandas skills!

  Language:Jupyter Notebook10.7k311658.2k

• rushter/data-science-blogs

  A curated list of data science blogs

  Language:Python6.3k46381.8k

• nalepae/pandarallel

  A simple and efficient tool to parallelize Pandas operations on all available CPUs

  Language:Python3.6k29219210

• brianlovin/briOS

  My personal website.

  Language:TypeScript2.1k1137227

• fugue-project/fugue

  A unified interface for distributed computing. Fugue executes SQL, Python, Pandas, and Polars code on Spark, Dask and Ray without any rewrites.

  Language:Python2k2326694

• eliahuhorwitz/Academic-project-page-template

  A project page template for academic papers. Demo at https://eliahuhorwitz.github.io/Academic-project-page-template/

  Language:JavaScript1.9k51276

• Tanu-N-Prabhu/Python

  This repository helps you understand python from the scratch.

  Language:Jupyter Notebook1.3k488676

• PradyumnaKrishna/Colab-Hacks

  Simple Hacks for Google Colaboratory to boost your productivity and help you to perform daily tasks.

  Language:Jupyter Notebook8843955916

• dginev/ar5iv

  A web service offering HTML5 articles from arXiv.org as converted with latexml

  Language:Rust770848920

• allenai/scitldr

  Language:Python747261584

• ikvk/imap_tools

  Work with email by IMAP

  Language:Python7061420980

• stefsietz/nn-visualizer

  Language:C#42710553

• leduckhai/Awesome-Competitive-Programming

  Must-know competitive programming problems with solutions and intuitive visualizations

  Language:Jupyter Notebook18713149

• labmlai/chrome-extension

  Source code of the papers.labml.ai Chrome extension

  Language:TypeScript70414

• hackingthemarkets/opensea-nft-api-tutorial

  OpenSea NFT API App using Python and Streamlit

  Language:Python646321

• safakkbilici/Academic-Paper-Title-Recommendation

  Supervised text summarization (title generation/recommendation) based on academic paper abstracts, with Seq2Seq LSTM and T5.

  Language:Python23331

• LudwigStumpp/zero-shot-captcha-solver

  A zero-shot captcha solver.

  Language:Jupyter Notebook16102

• ina-foss/stream-index-massive-tweets

  Docker infrastructure to stream and index massive amounts of tweets from Twitter API

  Language:Python7501

• chrismbryant/arXiv-structure

  Can we easily reveal some underlying structure in the relationships between academic paper abstracts using a combination of Truncated SVD and t-SNE?

  Language:Jupyter Notebook30

• nfriedri/CLS-Platform

  Cross-Lingual Summarization Platform

  Language:JavaScript2100