Alternatives and similar repositories for double-descent-curve

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

• lightonai / newma-md
  Conformational exploration SARS-CoV-2 (coronavirus responsible for COVID-19)
  ☆16Updated 3 years ago
• lightonai / transfer-learning-opu
  Optical Transfer Learning
  ☆27Updated 2 years ago
• lightonai / double-trouble-in-double-descent
  Double Trouble in the Double Descent Curve with Optical Processing Units.
  ☆12Updated 3 years ago
• lightonai / supervised-random-projections
  Python implementation of supervised PCA, supervised random projections, and their kernel counterparts.
  ☆19Updated 5 years ago
• lightonai / opu-benchmarks
  ML benchmarks performance featuring LightOn's Optical Processing Unit (OPU) vs CPU and GPU.
  ☆22Updated 2 years ago
• hashemghanem / OPU_Graph_Classifier
  Fast graph classifier with optical random features
  ☆12Updated 4 years ago
• lightonai / principled-dfa-training
  Code for our paper on best practices to train neural networks with direct feedback alignment (DFA).
  ☆23Updated 6 years ago
• lightonai / reinforcement-learning-opu
  Code to perform Model-Free Episodic Control using Aurora OPUs
  ☆17Updated 5 years ago
• lightonai / lightonml
  Python library for running large-scale computations on LightOn's OPUs
  ☆36Updated 3 years ago
• HazyResearch / structured-nets
  Structured matrices for compressing neural networks
  ☆67Updated 2 years ago
• fsschneider / DeepOBS
  DeepOBS: A Deep Learning Optimizer Benchmark Suite
  ☆108Updated last year
• HazyResearch / butterfly
  Butterfly matrix multiplication in PyTorch
  ☆174Updated 2 years ago
• cambridge-mlg / miracle
  This repository contains the code for our recent paper `Minimal Random Code Learning: Getting Bits Back from Compressed Model Parameters'
  ☆22Updated 7 years ago
• tensorly / torch
  TensorLy-Torch: Deep Tensor Learning with TensorLy and PyTorch
  ☆81Updated last year
• AlliedToasters / synapses
  ☆71Updated 5 years ago
• pfnet-research / einconv
  ☆47Updated 6 years ago
• HaberGroup / SemiImplicitDNNs
  Pytorch implementation of 'Semi-Implicit Methods for Deep Neural Networks'
  ☆25Updated 6 years ago
• jayanthkoushik / torch-gel
  Group elastic net implementation in PyTorch.
  ☆46Updated 5 years ago
• AlexanderMath / fasth
  Code for the article "What if Neural Networks had SVDs?", to be presented as a spotlight paper at NeurIPS 2020.
  ☆76Updated last year
• gpauloski / kfac-pytorch
  Distributed K-FAC preconditioner for PyTorch
  ☆91Updated last week
• modestyachts / neural_kernels_code
  ☆36Updated 4 years ago
• IPL-UV / jaxkern
  A lightweight didactic library of kernel methods using the back-end JAX.
  ☆12Updated 2 years ago
• bobby-he / Neural_Tangent_Kernel
  ☆67Updated 6 years ago
• ganguli-lab / degrees-of-freedom
  ☆37Updated 3 years ago
• ChFrenkel / DirectRandomTargetProjection
  PyTorch-based code for training fully-connected and convolutional networks using backpropagation (BP), feedback alignment (FA), direct fe…
  ☆66Updated 4 years ago
• PiotrDabkowski / torchpwl
  Piecewise Linear Functions (PWL) implementation in PyTorch
  ☆56Updated 3 years ago
• geomstats / challenge-iclr-2021
  GitHub repository for the ICLR Computational Geometry & Topology Challenge 2021
  ☆51Updated 3 years ago
• juntang-zhuang / TorchDiffEqPack
  ☆48Updated 2 years ago
• convnets-as-gps / convnets-as-gps
  Code for "Deep Convolutional Networks as shallow Gaussian Processes"
  ☆16Updated 6 years ago
• QUVA-Lab / COMBO
  ☆50Updated last year