Alternatives and similar repositories for dmlr-style-file

Users that are interested in dmlr-style-file are comparing it to the libraries listed below

• allenbai01 / transformers-as-statisticians
  ☆34Updated 2 years ago
• adamkarvonen / SAE_BoardGameEval
  ☆23Updated 11 months ago
• snap-stanford / zeroc
  ZeroC is a neuro-symbolic method that trained with elementary visual concepts and relations, can zero-shot recognize and acquire more com…
  ☆33Updated 2 years ago
• IdoAmos / not-from-scratch
  ☆33Updated last year
• noanabeshima / matryoshka-saes
  ☆25Updated last year
• p-lambda / incontext-learning
  Experiments and code to generate the GINC small-scale in-context learning dataset from "An Explanation for In-context Learning as Implici…
  ☆105Updated 2 years ago
• machine-discovery / deer
  Parallelizing non-linear sequential models over the sequence length
  ☆56Updated 6 months ago
• aw31 / empirical-ntks
  Efficient empirical NTKs in PyTorch
  ☆22Updated 3 years ago
• DeqingFu / transformers-icl-second-order
  Official repository for our paper, Transformers Learn Higher-Order Optimization Methods for In-Context Learning: A Study with Linear Mode…
  ☆20Updated last year
• RobertCsordas / modules
  The official repository for our paper "Are Neural Nets Modular? Inspecting Functional Modularity Through Differentiable Weight Masks". We…
  ☆46Updated 2 years ago
• Benjamin-Walker / selective-ssms-and-linear-cdes
  Code for "Theoretical Foundations of Deep Selective State-Space Models" (NeurIPS 2024)
  ☆15Updated 11 months ago
• ejmichaud / grokking-squared
  ☆27Updated 2 years ago
• requeima / llm_processes
  ☆68Updated 9 months ago
• thjashin / rodeo
  Gradient Estimation with Discrete Stein Operators (NeurIPS 2022)
  ☆17Updated 2 years ago
• wesg52 / universal-neurons
  Universal Neurons in GPT2 Language Models
  ☆31Updated last year
• formll / resolving-scaling-law-discrepancies
  ☆20Updated last month
• locuslab / edge-of-stability
  ☆73Updated last year
• epfml / schedules-and-scaling
  Code for NeurIPS 2024 Spotlight: "Scaling Laws and Compute-Optimal Training Beyond Fixed Training Durations"
  ☆86Updated last year
• RakitinDen / pytorch-recursive-gumbel-max-trick
  Leveraging Recursive Gumbel-Max Trick for Approximate Inference in Combinatorial Spaces, NeurIPS 2021
  ☆13Updated 4 years ago
• radarFudan / Curse-of-memory
  Curse-of-memory phenomenon of RNNs in sequence modelling
  ☆19Updated 7 months ago
• KihoPark / linear_rep_geometry
  ☆112Updated 10 months ago
• AndPotap / einsum-search
  ☆33Updated last year
• gregorbachmann / Next-Token-Failures
  ☆107Updated last year
• automl / is_mamba_capable_of_icl
  ☆18Updated last year
• RobertCsordas / onion_representations
  ☆12Updated last year
• ethancaballero / broken_neural_scaling_laws
  Code Release for "Broken Neural Scaling Laws" (BNSL) paper
  ☆59Updated 2 years ago
• srush / mamba-primer
  ☆38Updated last year
• tristandeleu / jax-dag-gflownet
  Code for "Bayesian Structure Learning with Generative Flow Networks"
  ☆94Updated 3 years ago
• berlino / seq_icl
  ☆53Updated last year
• IDSIA / rtrl-elstm
  Official repository for the paper "Exploring the Promise and Limits of Real-Time Recurrent Learning" (ICLR 2024)
  ☆14Updated 6 months ago