shohuku

shohuku's Stars

• DataExpert-io/data-engineer-handbook

  This is a repo with links to everything you'd ever want to learn about data engineering

  Language:Jupyter Notebook22.8k3.9k

• SylphAI-Inc/AdalFlow

  AdalFlow: The library to build & auto-optimize LLM applications.

  Language:Python2.3k207

• claudiashi57/dragonnet

  Language:Python25154

• lazyprogrammer/machine_learning_examples

  A collection of machine learning examples and tutorials.

  Language:Python8.4k6.3k

• Helixform/CodeCursor

  An extension for using Cursor in Visual Studio Code.

  Language:TypeScript1.7k74

• peggy1502/Amazing-Resources

  List of references and online resources related to data science, machine learning and deep learning.

  33998

• rasbt/LLMs-from-scratch

  Implement a ChatGPT-like LLM in PyTorch from scratch, step by step

  Language:Jupyter Notebook35.1k4.3k

• yihaoye/data-structure-and-algorithm-study-notes

  Computer Science fan's notes and blog, mostly about data structure and algorithm, also include other related topics: behavior question, object-oriented design, system design, database SQL and foundation knowledge

  Language:HTML599

• vinija/HealthCheck

  SingleStore Secure AI Healthcare application

  Language:Python46

• mlabonne/llm-course

  Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

  Language:Jupyter Notebook39.9k4.2k

• milvus-io/milvus

  A cloud-native vector database, storage for next generation AI applications

  Language:Go31.2k3k

• xbresson/GML2023

  Graph Machine Learning course, Xavier Bresson, 2023

  Language:Jupyter Notebook59290

• fanmingming/live

  ✯ 可直连访问的电视/广播图标库与相关工具项目 ✯ 🔕 永久免费 直连访问 完整开源 不断完善的台标 支持IPv4/IPv6双栈访问 🔕

  Language:JavaScript23.3k3.5k

• hamzafarooq/advanced-llms-course

  Code files for advanced LLM Course

  Language:Jupyter Notebook18429

• facebookexperimental/Robyn

  Robyn is an experimental, AI/ML-powered and open sourced Marketing Mix Modeling (MMM) package from Meta Marketing Science. Our mission is to democratise modeling knowledge, inspire the industry through innovation, reduce human bias in the modeling process & build a strong open source marketing science community.

  Language:Jupyter Notebook1.2k347

• sdg-1/consulting-handbook

  A guide for technical professionals looking to start consulting

  1.4k159

• dennyglee/dennyglee.github.io

  about me! data dork, scribe, geek, ultimate frisbee fan, mountain climber (barely!), wanna be cyclist... occasionally awake

  11

• databricks/megablocks

  Language:Python1.2k175

• rasbt/scipy2023-deeplearning

  Language:Jupyter Notebook601106

• ahkarami/Deep-Learning-in-Production

  In this repository, I will share some useful notes and references about deploying deep learning-based models in production.

  4.3k688

• bitterengsci/algorithm

  九章算法 v4.2+hackerrank+leetcode+my notes+interview questions

  Language:Python11450

• featureform/featureform

  The Virtual Feature Store. Turn your existing data infrastructure into a feature store.

  Language:Jupyter Notebook1.8k96

• dair-ai/ML-Course-Notes

  🎓 Sharing machine learning course / lecture notes.

  6.1k800

• Unity-Technologies/ml-agents

  The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement learning and imitation learning.

  Language:C#17.3k4.2k

• probml/pyprobml

  Python code for "Probabilistic Machine learning" book by Kevin Murphy

  Language:Jupyter Notebook6.6k1.5k

• dennyzhang/cheatsheet.dennyzhang.com

  Apply best practices via CheatSheets

  Language:Shell721389

• DataTalksClub/data-engineering-zoomcamp

  Free Data Engineering course!

  Language:Jupyter Notebook25.5k5.5k

• christophM/interpretable-ml-book

  Book about interpretable machine learning

  Language:Jupyter Notebook4.8k1.1k

• kosukeimai/qss

  Supplementary Materials for ``Quantitative Social Science: An Introduction''

  Language:R248207

• microsoft/ML-For-Beginners

  12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

  Language:HTML70.1k14.6k