Alternatives and similar repositories for Principles

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

• acmi-lab / cmu-10732-robustness-adaptivity-shift
  Official repository for CMU Machine Learning Department's 10732: Robustness and Adaptivity in Shifting Environments
  ☆74Updated 2 years ago
• AnanyaKumar / transfer_learning
  Framework code with wandb, checkpointing, logging, configs, experimental protocols. Useful for fine-tuning models or training from scratc…
  ☆152Updated 2 years ago
• lucmos / relreps
  Relative representations can be leveraged to enable solving tasks regarding "latent communication": from zero-shot model stitching to lat…
  ☆60Updated 2 years ago
• davidstutz / arxiv-submission-sanitizer-flattener
  Simple Python scripts to clean up and flatten ArXiv LaTeX submissions.
  ☆68Updated 3 years ago
• sjhwang82 / AdvancedML
  Reading list for the Advanced Machine Learning Course
  ☆375Updated 2 years ago
• leopard-ai / betty
  Betty: an automatic differentiation library for generalized meta-learning and multilevel optimization
  ☆344Updated last year
• khairulislam / ML-conferences
  List of ML conferences with important dates and accepted paper list
  ☆147Updated last week
• Johswald / awesome-hypernetworks
  ☆65Updated 3 years ago
• msaveski / www_personal
  Personal Webpage
  ☆294Updated 6 months ago
• rbalestr-lab / stable-pretraining
  Reliable, minimal and scalable library for pretraining foundation and world models
  ☆58Updated last week
• kohpangwei / group_DRO
  Distributionally robust neural networks for group shifts
  ☆278Updated 2 years ago
• frankaging / awesome-ai-research-intern-list
  List of AI Internships
  ☆126Updated last year
• davidstutz / pytorch-adversarial-examples-training-articles
  PyTorch code corresponding to my blog series on adversarial examples and (confidence-calibrated) adversarial training.
  ☆67Updated 2 years ago
• microsoft / otdd
  Optimal Transport Dataset Distance
  ☆170Updated 3 years ago
• PolinaKirichenko / deep_feature_reweighting
  ☆108Updated last year
• tjoo512 / belief-matching-framework
  Belief matching framework official implementation
  ☆40Updated 2 years ago
• yoonholee / DivDis
  ☆40Updated 2 years ago
• leonidk / leonidk.github.io
  a fork of https://jonbarron.info/ for use in jekyll builds with markdown page updates
  ☆326Updated 2 years ago
• chrhenning / hypnettorch
  Package for working with hypernetworks in PyTorch.
  ☆129Updated 2 years ago
• MinghuiChen43 / awesome-deep-phenomena
  A curated list of papers of interesting empirical study and insight on deep learning. Continually updating...
  ☆362Updated last month
• KAIST-Visual-AI-Group / Diffusion-Assignment1-DDPM
  ☆40Updated 7 months ago
• SebastinSanty / Just-Another-Research-CV
  📝 A not-so-fancy but still a pretty research CV
  ☆84Updated 4 years ago
• yewsiang / ConceptBottleneck
  Concept Bottleneck Models, ICML 2020
  ☆212Updated 2 years ago
• acmi-lab / cmu-10717-the-art-of-the-paper
  Official repository for CMU Machine Learning Department's 10717: "The Art of the Paper".
  ☆287Updated 3 years ago
• ysharma1126 / ssl_identifiability
  Self-Supervised Learning with Data Augmentations Provably Isolates Content from Style
  ☆53Updated 3 years ago
• addtt / object-centric-library
  Library for the training and evaluation of object-centric models (ICML 2022)
  ☆68Updated 2 years ago
• yataobian / awesome-ebm
  Collecting research materials on EBM/EBL (Energy Based Models, Energy Based Learning)
  ☆342Updated 2 months ago
• apple / learning-subspaces
  ☆133Updated 4 years ago
• konstantinos-p / Bayesian-Neural-Networks-Reading-List
  A primer on Bayesian Neural Networks. The aim of this reading list is to facilitate the entry of new researchers into the field of Bayesi…
  ☆56Updated last year
• dtsip / in-context-learning
  ☆238Updated last year