Alternatives and similar repositories for letterhead

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

• csfaculty / csfaculty.github.io
  Interview questions for Computer Science faculty jobs
  ☆40Updated last year
• joshuacnf / paradox-learning2reason
  ☆36Updated 11 months ago
• felixzli / synthetic_pretraining
  ☆38Updated 3 years ago
• Yujun-Yan / Neural-Execution-Engines
  Code for Neural Execution Engines: Learning to Execute Subroutines
  ☆17Updated 4 years ago
• shaohua0116 / awesome-program
  A curated list of papers related to program synthesis, program induction, program execution, program and code repair, and programmatic re…
  ☆168Updated 4 years ago
• MadryLab / datamodels-data
  Data for "Datamodels: Predicting Predictions with Training Data"
  ☆97Updated 2 years ago
• stanford-crfm / helm-efficiency
  ☆10Updated last year
• zbh2047 / L_inf-dist-net
  [ICML 2021] This is the official github repo for training L_inf dist nets with high certified accuracy.
  ☆42Updated 3 years ago
• pluskid / structural-regularity
  ☆23Updated 2 years ago
• cascremers / pdfdiff
  Command-line tool to inspect the difference between (the text in) two PDF files
  ☆256Updated 3 years ago
• Newbeeer / V-information
  Code for the ICLR 2020 Paper, "A Theory of Usable Information under Computational Constraints"
  ☆27Updated 5 years ago
• MadryLab / datamodels
  ☆30Updated 2 years ago
• Better-Call-Octagon / 22-fall-gre-ddl
  ☆26Updated 4 years ago
• srush / tangent
  Source-to-Source Debuggable Derivatives in Pure Python
  ☆15Updated last year
• percyliang / sfig
  SVG/Javascript-based library for creating presentations/figures
  ☆60Updated 3 years ago
• crux-eval / eval-arena
  ☆28Updated 2 weeks ago
• MadryLab / modeldiff
  ModelDiff: A Framework for Comparing Learning Algorithms
  ☆58Updated 2 years ago
• HazyResearch / mongoose
  A Learnable LSH Framework for Efficient NN Training
  ☆33Updated 4 years ago
• ermongroup / SPN_Variational_Inference
  PyTorch implementation for "Probabilistic Circuits for Variational Inference in Discrete Graphical Models", NeurIPS 2020
  ☆17Updated 4 years ago
• 95616ARG / SyReNN
  SyReNN: Symbolic Representations for Neural Networks
  ☆41Updated 2 years ago
• HaohanWang / Robustar
  Interactive Toolbox for Robust Vision Classification
  ☆43Updated 2 years ago
• bergen / EdgeTransformer
  ☆22Updated 3 years ago
• xiaohk / recrec
  Recommender for suggesting letter writers 👍
  ☆34Updated last year
• xiye17 / SAT-LM
  SatLM: SATisfiability-Aided Language Models using Declarative Prompting (NeurIPS 2023)
  ☆50Updated last year
• MurtyShikhar / structural-grokking
  Code for our ACL '23 paper titled "Grokking of Hierarchical Structure in Vanilla Transformers"
  ☆23Updated 2 years ago
• pietrolesci / memorisation-profiles
  This is the official implementation for our ACL 2024 paper: "Causal Estimation of Memorisation Profiles".
  ☆23Updated 7 months ago
• shauli-ravfogel / rlace-icml
  ☆36Updated 3 years ago
• emalach / LinearLM
  Code for the paper: https://arxiv.org/pdf/2309.06979.pdf
  ☆21Updated last year
• xtinkt / editable
  A supplementary code for Editable Neural Networks, an ICLR 2020 submission.
  ☆46Updated 5 years ago
• singlasahil14 / salient_imagenet
  Code for the ICLR 2022 paper. Salient Imagenet: How to discover spurious features in deep learning?
  ☆40Updated 3 years ago