Alternatives and similar repositories for chip-huyen-ml-interview-book-solutions

Users that are interested in chip-huyen-ml-interview-book-solutions are comparing it to the libraries listed below

• backpropagation64 / mle-interview-questions
  Interview Questions and Answers for Machine Learning Engineer role
  ☆119Updated 3 months ago
• Anirudh257 / Solutions-to-Machine-Learning-Interviews-Book-By-Chip-Huyen
  ☆52Updated last year
• neubig / nlp-from-scratch-assignment-2022
  An assignment for CMU CS11-711 Advanced NLP, building NLP systems from scratch
  ☆170Updated 2 years ago
• mlops-discord / gpu-optimization-workshop
  Slides, notes, and materials for the workshop
  ☆331Updated last year
• ma7dev / deep-learning-project-template
  A project template where PyTorch Lightning, Pydantic, and more! being used for training MNIST as an example.
  ☆27Updated 3 years ago
• msaroufim / ml-design-patterns
  Software Architecture for ML engineers
  ☆411Updated 3 years ago
• the-full-stack / fsdl-text-recognizer-2022
  Source of the FSDL 2022 labs, which are at https://github.com/full-stack-deep-learning/fsdl-text-recognizer-2022-labs
  ☆82Updated last year
• init27 / Deep-Learning-Book-Supplementary-Materials
  Supplementary Materials for the Deep Learning Book by Ian Goodfellow et al
  ☆53Updated 2 years ago
• deshwalmahesh / DataScience-StudyMaterial
  Just some stuff for Interview questions, books, annotated paper, notes, cheat sheets etc etc related to ML,AI, Deep Learning and Data Sc…
  ☆118Updated last week
• anyscale / e2e-llm-workflows
  Fine-tune an LLM to perform batch inference and online serving.
  ☆112Updated 3 months ago
• warner-benjamin / commented-transformers
  Highly commented implementations of Transformers in PyTorch
  ☆137Updated 2 years ago
• eugeneyan / applyingml
  📌 Papers, guides, and mentor interviews on applying machine learning for ApplyingML.com—the ghost knowledge of machine learning.
  ☆204Updated last year
• rasbt / RAGs
  RAGs: Simple implementations of Retrieval Augmented Generation (RAG) Systems
  ☆124Updated 7 months ago
• huggingface / workshops
  Materials for workshops on the Hugging Face ecosystem
  ☆150Updated 2 years ago
• Nyandwi / deep-computer-vision
  Deep Learning for Computer Vision
  ☆59Updated last year
• PacktPublishing / The-Machine-Learning-Solutions-Architect-Handbook
  The Machine Learning Solutions Architect Handbook, published by Packt
  ☆145Updated 2 years ago
• mlops-discord / dmls-bookclub
  ☆75Updated last year
• ThinamXx / Meta-llama
  Complete implementation of Llama2 with/without KV cache & inference 🚀
  ☆48Updated last year
• GokuMohandas / testing-ml
  Learn how to create reliable ML systems by testing code, data and models.
  ☆88Updated 2 years ago
• wandb / Groundbreaking-Papers
  ML Research paper summaries, annotated papers and implementation walkthroughs
  ☆113Updated 3 years ago
• infocusp / llm_seminar_series
  Material for the series of seminars on Large Language Models
  ☆34Updated last year
• ThinamXx / build-GPT
  Building GPT ...
  ☆18Updated 9 months ago
• rashmimarganiatgithub / LLMS_Library_2023
  LLM_library is a comprehensive repository serves as a one-stop resource hands-on code, insightful summaries.
  ☆69Updated last year
• ishandutta0098 / zero-to-lightning
  zero-to-lightning
  ☆31Updated last year
• chiphuyen / chiphuyen
  ☆50Updated last month
• JulienGenovese / JulienGenovese
  In this repository we have all the codes that we have developed
  ☆12Updated last year
• rasbt / pycon2024
  Tutorial Materials for "The Fundamentals of Modern Deep Learning with PyTorch" workshop at PyCon 2024
  ☆247Updated last year
• tcapelle / llm_recipes
  A set of scripts and notebooks on LLM finetunning and dataset creation
  ☆110Updated 11 months ago
• zafstojano / ml-interview-questions-and-answers
  This repo contains my solutions to “Introduction to Machine Learning Interviews” by Chip Huyen.
  ☆167Updated last year
• the-full-stack / fsdl-text-recognizer-2022-labs
  Complete deep learning project developed in Full Stack Deep Learning, 2022 edition. Generated automatically from https://github.com/full-…
  ☆477Updated last year