Alternatives and similar repositories for double-descent

Users that are interested in double-descent are comparing it to the libraries listed below

• Zukang-Liao / ML4ML-invariance-testing
  ML4ML: Automated Invariance Testing for Machine Learning Models
  ☆22Updated 3 years ago
• toshas / torch-householder
  Efficient Householder Transformation in PyTorch
  ☆66Updated 4 years ago
• edwardjhu / improved_wasserstein
  Code for our ICLR Trustworthy ML 2020 workshop paper "Improved Image Wasserstein Attacks and Defenses"
  ☆14Updated 5 years ago
• microsoft / vi-hds
  Variational inference for hierarchical dynamical systems
  ☆48Updated last year
• IndustAI / learning-group-structure
  Code associated with our paper "Learning Group Structure and Disentangled Representations of Dynamical Environments"
  ☆15Updated 2 years ago
• shwinshaker / LipGrow
  An adaptive training algorithm for residual network
  ☆17Updated 5 years ago
• RylanSchaeffer / Stanford-AI-Alignment-Double-Descent-Tutorial
  Code for Arxiv Double Descent Demystified: Identifying, Interpreting & Ablating the Sources of a Deep Learning Puzzle
  ☆50Updated last year
• amirabbasasadi / RockyML
  ⛰️ RockyML - A High-Performance Scientific Computing Framework for Non-smooth Machine Learning Problems
  ☆19Updated 2 years ago
• thegregyang / NNspectra
  Computing the eigenvalues of Neural Tangent Kernel and Conjugate Kernel (aka NNGP kernel) over the boolean cube
  ☆47Updated 6 years ago
• ganguli-lab / degrees-of-freedom
  ☆37Updated 3 years ago
• U-Sharma / NeuralScaleID
  ☆12Updated 5 years ago
• nick11roberts / XD
  ☆12Updated 3 years ago
• tk-rusch / coRNN
  Official code for Coupled Oscillatory RNN (ICLR 2021, Oral)
  ☆50Updated 4 years ago
• lucidrains / ESBN-pytorch
  Usable implementation of Emerging Symbol Binding Network (ESBN), in Pytorch
  ☆25Updated 4 years ago
• FrancescoSaverioZuppichini / pytorch-2.0-benchmark
  Benchmarking PyTorch 2.0 different models
  ☆20Updated 2 years ago
• jxbz / entropix
  📰 Computing the information content of trained neural networks
  ☆22Updated 4 years ago
• pierresegonne / VINF
  Repository for DTU Special Course, focusing on Variational Inference using Normalizing Flows (VINF). Supervised by Michael Riis Andersen
  ☆25Updated 5 years ago
• andrew-silva / clean-rl-mlx
  Clean RL implementation using MLX
  ☆33Updated last year
• cair / PyTsetlinMachineCUDA
  Massively Parallel and Asynchronous Architecture for Logic-based AI
  ☆43Updated 2 years ago
• Rose-STL-Lab / AutoSTPP
  Automatic Integration for Neural Spatio-Temporal Point Process models (AI-STPP) is a new paradigm for exact, efficient, non-parametric inf…
  ☆25Updated last year
• ekinakyurek / google-research
  Google Research
  ☆46Updated 3 years ago
• git-disl / LRBench
  A learning rate recommending and benchmarking tool.
  ☆20Updated 2 years ago
• lucidrains / metaformer-gpt
  Implementation of Metaformer, but in an autoregressive manner
  ☆26Updated 3 years ago
• mkhodak / relax
  ☆15Updated 3 years ago
• juliusberner / deep_kolmogorov
  Numerically Solving Parametric Families of High-Dimensional Kolmogorov Partial Differential Equations via Deep Learning (NeurIPS 2020)
  ☆22Updated 3 years ago
• yaohungt / Self_Supervised_Learning_Multiview
  ☆42Updated 5 years ago
• ForoughA / recursiveMemNet
  Tree Stack Memory Units
  ☆17Updated 5 years ago
• ermongroup / SPN_Variational_Inference
  PyTorch implementation for "Probabilistic Circuits for Variational Inference in Discrete Graphical Models", NeurIPS 2020
  ☆17Updated 4 years ago
• swing-research / deepmesh
  Random Mesh Projectors for Inverse Problems
  ☆24Updated 4 years ago
• google-deepmind / ssl_hsic
  ☆38Updated last year