Alternatives and similar repositories for ML-Papers-Explained

Users that are interested in ML-Papers-Explained are comparing it to the libraries listed below

• dair-ai / ML-Papers-of-the-Week
  🔥Highlighting the top ML papers every week.
  ☆12,069Updated 3 months ago
• dair-ai / Transformers-Recipe
  🧠 A study guide to learn about Transformers
  ☆1,614Updated 2 years ago
• michaelgutmann / ml-pen-and-paper-exercises
  Pen and paper exercises in machine learning
  ☆2,525Updated last year
• dair-ai / ML-Notebooks
  Machine Learning Notebooks
  ☆3,412Updated last year
• merveenoyan / my_notes
  My small cheatsheets for data science, ML, computer science and more.
  ☆1,653Updated 2 years ago
• SkalskiP / courses
  This repository is a curated collection of links to various courses and resources about Artificial Intelligence (AI)
  ☆6,229Updated last year
• nlp-with-transformers / notebooks
  Jupyter notebooks for the Natural Language Processing with Transformers book
  ☆4,628Updated last year
• udlbook / udlbook
  Understanding Deep Learning - Simon J.D. Prince
  ☆8,484Updated last week
• faridrashidi / kaggle-solutions
  🏅 Collection of Kaggle Solutions and Ideas 🏅
  ☆6,199Updated last week
• NielsRogge / Transformers-Tutorials
  This repository contains demos I made with the Transformers library by HuggingFace.
  ☆11,342Updated 4 months ago
• eugeneyan / ml-surveys
  📋 Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc.
  ☆2,869Updated 2 years ago
• graviraja / MLOps-Basics
  ☆8,435Updated last year
• stas00 / ml-engineering
  Machine Learning Engineering Open Book
  ☆15,734Updated 3 weeks ago
• ahmedbahaaeldin / From-0-to-Research-Scientist-resources-guide
  Detailed and tailored guide for undergraduate students or anybody want to dig deep into the field of AI with solid foundation.
  ☆7,579Updated last year
• BeastByteAI / scikit-llm
  Seamlessly integrate LLMs into scikit-learn.
  ☆3,479Updated 2 weeks ago
• Mooler0410 / LLMsPracticalGuide
  A curated list of practical guide resources of LLMs (LLMs Tree, Examples, Papers)
  ☆10,093Updated last year
• iusztinpaul / hands-on-llms
  🦖 𝗟𝗲𝗮𝗿𝗻 about 𝗟𝗟𝗠𝘀, 𝗟𝗟𝗠𝗢𝗽𝘀, and 𝘃𝗲𝗰𝘁𝗼𝗿 𝗗𝗕𝘀 for free by designing, training, and deploying a real-time financial …
  ☆3,364Updated 11 months ago
• b7leung / MLE-Flashcards
  200+ detailed flashcards useful for reviewing topics in machine learning, computer vision, and computer science.
  ☆2,183Updated 5 months ago
• google-research / tuning_playbook
  A playbook for systematically maximizing the performance of deep learning models.
  ☆29,395Updated last year
• GokuMohandas / mlops-course
  Learn how to design, develop, deploy and iterate on production-grade ML applications.
  ☆3,223Updated last year
• Paulescu / hands-on-rl
  Free course that takes you from zero to Reinforcement Learning PRO 🦸🏻‍🦸🏽
  ☆1,180Updated last year
• khangich / machine-learning-interview
  Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.
  ☆11,608Updated 2 years ago
• dair-ai / ML-Course-Notes
  🎓 Sharing machine learning course / lecture notes.
  ☆6,341Updated last year
• chiphuyen / ml-interviews-book
  https://huyenchip.com/ml-interviews-book/
  ☆4,328Updated 7 months ago
• ashishpatel26 / Treasure-of-Transformers
  💁 Awesome Treasure of Transformers Models for Natural Language processing contains papers, videos, blogs, official repo along with colab…
  ☆1,075Updated 3 months ago
• louisfb01 / best_AI_papers_2022
  A curated list of the latest breakthroughs in AI (in 2022) by release date with a clear video explanation, link to a more in-depth articl…
  ☆3,186Updated 2 years ago
• the-full-stack / website
  Source for https://fullstackdeeplearning.com
  ☆1,271Updated 6 months ago
• ashishpatel26 / LLM-Finetuning
  LLM Finetuning with peft
  ☆2,696Updated 3 months ago
• huggingface / deep-rl-class
  This repo contains the Hugging Face Deep Reinforcement Learning Course.
  ☆4,603Updated last month
• karpathy / nn-zero-to-hero
  Neural Networks: Zero to Hero
  ☆18,587Updated last year