Alternatives and similar repositories for awesome-deep-phenomena

Users that are interested in awesome-deep-phenomena are comparing it to the libraries listed below

• kwignb / NeuralTangentKernel-Papers
  Neural Tangent Kernel Papers
  ☆119Updated 10 months ago
• xie-lab-ml / deep-learning-dynamics-paper-list
  This is a list of peer-reviewed representative papers on deep learning dynamics (optimization dynamics of neural networks). The success o…
  ☆288Updated last year
• WeiHuang05 / Awesome-Feature-Learning-in-Deep-Learning-Thoery
  Welcome to the Awesome Feature Learning in Deep Learning Thoery Reading Group! This repository serves as a collaborative platform for sch…
  ☆200Updated 10 months ago
• dtsip / in-context-learning
  ☆241Updated last year
• WeiHuang05 / Awesome_Large_Foundation_Model_Theory
  Welcome to the 'In Context Learning Theory' Reading Group
  ☆30Updated last year
• ZIYU-DEEP / Awesome-Information-Bottleneck
  This is a curated list for Information Bottleneck Principle, in memory of Professor Naftali Tishby.
  ☆379Updated last year
• yataobian / awesome-ebm
  Collecting research materials on EBM/EBL (Energy Based Models, Energy Based Learning)
  ☆350Updated 4 months ago
• locuslab / edge-of-stability
  ☆71Updated 11 months ago
• mlfoundations / task_vectors
  Editing Models with Task Arithmetic
  ☆511Updated last year
• tengyuma / cs229m_notes
  ☆238Updated 2 years ago
• PatrickZH / Awesome-Coreset-Selection
  Awesome coreset/core-set/subset/sample selection works.
  ☆182Updated last year
• pomonam / kronfluence
  Influence Functions with (Eigenvalue-corrected) Kronecker-Factored Approximate Curvature
  ☆167Updated 4 months ago
• gortizji / tangent_task_arithmetic
  Source code of "Task arithmetic in the tangent space: Improved editing of pre-trained models".
  ☆106Updated 2 years ago
• TRAIS-Lab / dattri
  `dattri` is a PyTorch library for developing, benchmarking, and deploying efficient data attribution algorithms.
  ☆93Updated last week
• PatrickZH / DeepCore
  Code for coreset selection methods
  ☆245Updated 2 years ago
• zyushun / hessian-spectrum
  Code for the paper: Why Transformers Need Adam: A Hessian Perspective
  ☆64Updated 8 months ago
• marcellodebernardi / loss-landscapes
  Approximating neural network loss landscapes in low-dimensional parameter subspaces for PyTorch
  ☆346Updated last year
• MadryLab / trak
  A fast, effective data attribution method for neural networks in PyTorch
  ☆220Updated 11 months 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
• chengxiang / LinearTransformer
  Pytorch code for experiments on Linear Transformers
  ☆23Updated last year
• lucidrains / st-moe-pytorch
  Implementation of ST-Moe, the latest incarnation of MoE after years of research at Brain, in Pytorch
  ☆369Updated last year
• AntixK / PyTorch-Model-Compare
  Compare neural networks by their feature similarity
  ☆373Updated 2 years ago
• leopard-ai / betty
  Betty: an automatic differentiation library for generalized meta-learning and multilevel optimization
  ☆344Updated last year
• MinghuiChen43 / awesome-trustworthy-deep-learning
  A curated list of trustworthy deep learning papers. Daily updating...
  ☆375Updated last week
• bansky-cl / diffusion-nlp-paper-arxiv
  Auto get diffusion nlp papers in Axriv. More papers Information can be found in another repository "Diffusion-LM-Papers".
  ☆219Updated this week
• alstonlo / torch-influence
  A simple PyTorch implementation of influence functions.
  ☆91Updated last year
• ycjing / Awesome-Model-Merging
  A curated list of Model Merging methods.
  ☆92Updated last year
• reds-lab / LAVA
  This is an official repository for "LAVA: Data Valuation without Pre-Specified Learning Algorithms" (ICLR2023).
  ☆51Updated last year
• kuleshov-group / awesome-discrete-diffusion-models
  A curated list for awesome discrete diffusion models resources.
  ☆491Updated 2 months ago
• AvivBick / awesome-ssm-ml
  Reading list for research topics in state-space models
  ☆330Updated 5 months ago