Alternatives and similar repositories for ai-residency

Users that are interested in ai-residency are comparing it to the libraries listed below

• rishabhk108 / AdvancedOptML
  CS 7301: Spring 2021 Course on Advanced Topics in Optimization in Machine Learning
  ☆179Updated 4 years ago
• tirtharajdash / BITS-G513_MetaLearning
  Labs for the course on Meta Learning at BITS-Goa
  ☆33Updated 4 years ago
• SouravDutta91 / AI-Residency-List
  List of AI Residency & Research programs, Ph.D Fellowships, Research Internships
  ☆162Updated 5 years ago
• greentfrapp / deep-learning-book-notes
  Notes on Deep Learning textbook by Ian Goodfellow, Yoshua Bengio and Aaron Courville
  ☆63Updated 7 years ago
• ankitshah009 / all-about-ai-residency
  AI residency programs information
  ☆473Updated 2 years ago
• wandb / awesome-dl-projects
  This is a collection of the code that accompanies the reports in The Gallery by Weights & Biases.
  ☆342Updated 3 years ago
• vlgiitr / papers_we_read
  Summaries for exciting works in the field of Deep Learning.
  ☆354Updated 4 months ago
• core-ml / coreml
  Generic framework for ML projects
  ☆19Updated 2 years ago
• TheShadow29 / research-advice-list
  A compilation of research advice.
  ☆219Updated 4 years ago
• CShorten / HenryAILabs-VideoList
  A curated list of all Henry AI Labs videos on Deep Learning and AI organized by category!
  ☆99Updated 2 years 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
• Machine-Learning-Tokyo / __init__
  ☆136Updated 2 years ago
• backpropagation64 / mle-interview-questions
  Interview Questions and Answers for Machine Learning Engineer role
  ☆116Updated 4 months ago
• mohitzsh / ML-Interview
  Resources I used for ML Engineer, Applied Scientist and Quant Researcher interviews.
  ☆313Updated 3 years ago
• abhishekkrthakur / ml_dev_env
  Machine Learning / Deep Learning Environment. Everywhere. Anywhere.
  ☆51Updated 5 years ago
• Paperspace / PyTorch-101-Tutorial-Series
  PyTorch 101 series covering everything from the basic building blocks all the way to building custom architectures.
  ☆265Updated 5 years ago
• haven-ai / haven-ai
  To Run, Manage and Visualize Large Scale Experiments
  ☆172Updated 2 years ago
• alisher-ai / machine-learning-notes
  My personal notes on Machine Learning
  ☆144Updated 4 years ago
• shervinea / pytorch-data-generator
  Template for data generator with PyTorch
  ☆135Updated 7 years ago
• craffel / dl3d-seminar
  Course webpage for COMP 790, (Deep) Learning from Limited Labeled Data
  ☆304Updated 5 years ago
• vlgiitr / DL_Topics
  List of DL topics and resources essential for cracking interviews
  ☆450Updated 2 years ago
• theairbend3r / how-to-train-your-neural-net
  Deep learning research implemented on notebooks using PyTorch.
  ☆64Updated 3 years ago
• dipanjanS / adversarial-learning-robustness
  Contains materials for workshops pertaining to adversarial robustness in deep learning.
  ☆86Updated 4 years ago
• sscardapane / reprodl2021
  Host repository for the "Reproducible Deep Learning" PhD course
  ☆407Updated 3 years ago
• mtrazzi / rl-book-challenge
  self-studying the Sutton & Barto the hard way
  ☆200Updated 3 years ago
• rishabhk108 / OptimizationML
  Material for my course: Optimization in Machine Learning
  ☆32Updated 4 years ago
• The-AI-Summer / learn-deep-learning
  AI Summer's complete catalog of articles
  ☆111Updated 3 years ago
• AakashKumarNain / TF_JAX_tutorials
  All about the fundamental blocks of TF and JAX!
  ☆276Updated 3 years ago
• M2Lschool / tutorials2021
  Mediterranean Machine Learning school tutorials
  ☆93Updated 4 years ago