Alternatives and similar repositories for dcai-lab

Users that are interested in dcai-lab are comparing it to the libraries listed below

• Lightning-AI / dl-fundamentals
  Deep Learning Fundamentals -- Code material and exercises
  ☆397Updated last year
• PacktPublishing / Machine-Learning-for-Imbalanced-Data
  Machine Learning for Imbalanced Data, published by Packt
  ☆277Updated last week
• wandb / edu
  Educational materials on deep learning by Weights & Biases
  ☆649Updated 11 months ago
• dcai-course / dcai-course
  Introduction to Data-Centric AI, MIT IAP 2024 🤖
  ☆103Updated 6 months ago
• rasbt / pycon2024
  Tutorial Materials for "The Fundamentals of Modern Deep Learning with PyTorch" workshop at PyCon 2024
  ☆248Updated last year
• kennethleungty / Failed-ML
  Compilation of high-profile real-world examples of failed machine learning projects
  ☆743Updated last year
• zafstojano / ml-interview-questions-and-answers
  This repo contains my solutions to “Introduction to Machine Learning Interviews” by Chip Huyen.
  ☆178Updated 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-…
  ☆487Updated last year
• Data-Centric-AI-Community / awesome-data-centric-ai
  Open-Source Software, Tutorials, and Research on Data-Centric AI 🤖
  ☆344Updated 2 years ago
• PacktPublishing / Applied-Machine-Learning-Explainability-Techniques
  Applied Machine Learning Explainability Techniques, published by Packt
  ☆246Updated last week
• aai-institute / beyond-jupyter
  Software design principles for machine learning applications
  ☆375Updated 4 months ago
• BexTuychiev / tricking-data-science
  A book of subtle code tricks and gem resources for all things data, machine learning and deep learning.
  ☆169Updated last year
• ml-for-high-risk-apps-book / Machine-Learning-for-High-Risk-Applications-Book
  Official code repo for the O'Reilly Book - Machine Learning for High-Risk Applications
  ☆104Updated 2 years ago
• msaroufim / ml-design-patterns
  Software Architecture for ML engineers
  ☆414Updated 3 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…
  ☆120Updated 4 months ago
• mattharrison / effective_xgboost_book
  ☆292Updated 2 years ago
• amitsangani / Llama
  All the projects related to Llama
  ☆381Updated 8 months ago
• rasbt / scipy2023-deeplearning
  ☆602Updated 2 years ago
• Nyandwi / deep-computer-vision
  Deep Learning for Computer Vision
  ☆60Updated last year
• HHU-MMBS / RepresentationLearning_SS2023
  Representation Learning MSc course Summer Semester 2023
  ☆85Updated 2 years ago
• deshwalmahesh / ML-Models-from-Scratch
  Repo for ML Models built from scratch such as Self-Attention, Linear +Logistic Regression, PCA, LDA. CNN, LSTM, Neural Networks using Nu…
  ☆50Updated 10 months ago
• xbresson / GML2023
  Graph Machine Learning course, Xavier Bresson, 2023
  ☆614Updated last year
• unlearning-challenge / starting-kit
  Starting kit for the NeurIPS 2023 unlearning challenge
  ☆374Updated 2 years ago
• SanDiegoMachineLearning / talks
  Presentations other than book club meetings
  ☆104Updated 2 weeks ago
• FourthBrain / software-dev-for-mlops-101
  Set up your local environment to do some real Machine Learning Operations software development, just like pro MLOps practitioners.
  ☆241Updated 2 years ago
• vinija / AI-Coding
  AI algorithms
  ☆142Updated last year
• Coder-World04 / Complete-Pytorch-with-Projects-Series-
  This repository contains everything you need to become proficient in PyTorch
  ☆103Updated last year
• GokuMohandas / data-engineering
  Construct a modern data stack and orchestration the workflows to create high quality data for analytics and ML applications.
  ☆232Updated 3 years ago
• brianrisk / Stock-Prediction-Neural-Network-and-Machine-Learning-Examples
  Examples of python neural net and ML stock prediction methods with sample stock data.
  ☆270Updated last year
• PacktPublishing / Interpretable-Machine-Learning-with-Python-2E
  Interpretable ML with Python, 2E - published by Packt
  ☆105Updated last month