Alternatives and similar repositories for reprodl2021

Users that are interested in reprodl2021 are comparing it to the libraries listed below

• AakashKumarNain / TF_JAX_tutorials
  All about the fundamental blocks of TF and JAX!
  ☆275Updated 3 years ago
• Machine-Learning-Tokyo / __init__
  ☆136Updated 2 years ago
• shreyashankar / toy-ml-pipeline
  Toy example of an applied ML pipeline for me to experiment with MLOps tools.
  ☆209Updated 3 years ago
• parrt / msds621
  Course notes for MSDS621 at Univ of San Francisco, introduction to machine learning
  ☆347Updated 3 years ago
• tmabraham / awesome-fastai
  A curated list of awesome fastai projects/blog posts/tutorials/etc.
  ☆172Updated 3 years ago
• Lightning-AI / engineering-class
  Lightning Bits: Engineering for Researchers repo
  ☆132Updated 2 years ago
• wandb / awesome-dl-projects
  This is a collection of the code that accompanies the reports in The Gallery by Weights & Biases.
  ☆341Updated 3 years ago
• arnabbiswas1 / kaggle_pipeline_tps_aug_22
  Kaggle Pipeline for tabular data competitions
  ☆207Updated last year
• dair-ai / d2l-study-group
  🧠 Material for the Deep Learning Study Group
  ☆394Updated 3 years ago
• walkwithfastai / walkwithfastai.github.io
  Host for https://walkwithfastai.com
  ☆146Updated last year
• brandokoch / attention-is-all-you-need-paper
  Original transformer paper: Implementation of Vaswani, Ashish, et al. "Attention is all you need." Advances in neural information process…
  ☆238Updated last year
• rasbt / stat451-machine-learning-fs21
  ☆152Updated 3 years ago
• vopani / datatableton
  100 exercises to learn Python Datatable
  ☆269Updated 3 years ago
• mrdbourke / cs329s-ml-deployment-tutorial
  Code and files to go along with CS329s machine learning model deployment tutorial.
  ☆607Updated 2 years ago
• clam004 / intro_continual_learning
  This is a tutorial to connect the fundamental mathematics to a practical implementation addressing the continual learning problem of arti…
  ☆361Updated 2 years ago
• dair-ai / pytorch_notebooks
  🔥 A collection of PyTorch notebooks for learning and practicing deep learning
  ☆575Updated 2 years ago
• msaroufim / ml-design-patterns
  Software Architecture for ML engineers
  ☆411Updated 3 years ago
• vopani / jaxton
  100 exercises to learn JAX
  ☆586Updated 3 years ago
• Machine-Learning-Tokyo / Math_resources
  ☆345Updated 4 years ago
• khipu-ai / practicals-2019
  Practical notebooks for Khipu 2019, held in Universidad de la República in Montevideo.
  ☆244Updated 5 years ago
• rishabhk108 / AdvancedOptML
  CS 7301: Spring 2021 Course on Advanced Topics in Optimization in Machine Learning
  ☆177Updated 4 years ago
• dpressel / mint
  MinT: Minimal Transformer Library and Tutorials
  ☆256Updated 3 years ago
• backpropagation64 / mle-interview-questions
  Interview Questions and Answers for Machine Learning Engineer role
  ☆120Updated 2 months ago
• wandb / Groundbreaking-Papers
  ML Research paper summaries, annotated papers and implementation walkthroughs
  ☆113Updated 3 years ago
• eemlcommunity / PracticalSessions2020
  Repository for tutorial sessions at EEML2020
  ☆270Updated 4 years ago
• haltakov / suboptimal
  Seriously Unnecessary Baffling Obscure Perplexing Terms In MAchine Learning
  ☆192Updated 3 years ago
• eugeneyan / testing-ml
  🔍 Minimal examples of machine learning tests for implementation, behaviour, and performance.
  ☆264Updated 2 years ago
• eugeneyan / applyingml
  📌 Papers, guides, and mentor interviews on applying machine learning for ApplyingML.com—the ghost knowledge of machine learning.
  ☆203Updated last year
• FasterAI-Labs / fasterai
  FasterAI: Prune and Distill your models with FastAI and PyTorch
  ☆249Updated last month
• TorchDrift / TorchDrift
  Drift Detection for your PyTorch Models
  ☆317Updated 2 years ago