Alternatives and similar repositories for Markov

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

• GFNOrg / GFlowNet-EM
  Code for GFlowNet-EM, a novel algorithm for fitting latent variable models with compositional latents and an intractable true posterior.
  ☆41Updated last year
• Ping-C / optimizer
  This repository includes code to reproduce the tables in "Loss Landscapes are All You Need: Neural Network Generalization Can Be Explaine…
  ☆40Updated 2 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…
  ☆19Updated last year
• Bradley-Butcher / Conformers
  Unofficial implementation of Conformal Language Modeling by Quach et al
  ☆29Updated 2 years ago
• Benjamin-Walker / selective-ssms-and-linear-cdes
  Code for "Theoretical Foundations of Deep Selective State-Space Models" (NeurIPS 2024)
  ☆15Updated 10 months ago
• AndPotap / einsum-search
  ☆33Updated last year
• google-deepmind / spectral_ssm
  ☆34Updated last year
• taufeeque9 / codebook-features
  Sparse and discrete interpretability tool for neural networks
  ☆64Updated last year
• allenbai01 / transformers-as-statisticians
  ☆34Updated 2 years ago
• IdoAmos / not-from-scratch
  ☆33Updated last year
• wesg52 / universal-neurons
  Universal Neurons in GPT2 Language Models
  ☆31Updated last year
• machine-discovery / deer
  Parallelizing non-linear sequential models over the sequence length
  ☆55Updated 4 months ago
• rpatrik96 / ima-vae
  This is the code for the paper Embrace the Gap: VAEs perform Independent Mechanism Analysis, showing that optimizing the ELBO is equivale…
  ☆23Updated last year
• adamkarvonen / SAE_BoardGameEval
  ☆23Updated 9 months ago
• shikaiqiu / compute-better-spent
  ☆61Updated last year
• fangyuan-ksgk / selective-attention-transformer
  Unofficial Implementation of Selective Attention Transformer
  ☆17Updated last year
• AhmedImtiazPrio / grok-adversarial
  Deep Networks Grok All the Time and Here is Why
  ☆37Updated last year
• aradha / deep_neural_feature_ansatz
  Code for verifying deep neural feature ansatz
  ☆20Updated 2 years ago
• vvvm23 / mamba-jax
  Unofficial but Efficient Implementation of "Mamba: Linear-Time Sequence Modeling with Selective State Spaces" in JAX
  ☆89Updated last year
• aadityasingh / icl-dynamics
  ☆24Updated 7 months ago
• thjashin / multires-conv
  Sequence Modeling with Multiresolution Convolutional Memory (ICML 2023)
  ☆127Updated 2 years ago
• tml-epfl / why-weight-decay
  Why Do We Need Weight Decay in Modern Deep Learning? [NeurIPS 2024]
  ☆68Updated last year
• fjzzq2002 / random_transformers
  Official code for "Algorithmic Capabilities of Random Transformers" (NeurIPS 2024)
  ☆15Updated last year
• KindXiaoming / Omnigrok
  Omnigrok: Grokking Beyond Algorithmic Data
  ☆62Updated 2 years ago
• automl / is_mamba_capable_of_icl
  ☆18Updated last year
• locuslab / edge-of-stability
  ☆72Updated 11 months ago
• abietti / transformer-birth
  ☆19Updated last year
• MaximeRobeyns / bayesian_lora
  Bayesian Low-Rank Adaptation for Large Language Models
  ☆36Updated last year
• jongharyu / neural-svd
  Official PyTorch implementation of NeuralSVD (ICML 2024)
  ☆20Updated last year
• xu-ji / information-bottleneck
  Deep Learning & Information Bottleneck
  ☆62Updated 2 years ago