Alternatives and similar repositories for IFT6135_Programming

Users that are interested in IFT6135_Programming are comparing it to the libraries listed below

• damaru2 / ntk
  NTK reading group
  ☆87Updated 5 years ago
• janosh / tensorboard-reducer
  Reduce multiple PyTorch TensorBoard runs to new event (or CSV) files.
  ☆75Updated last week
• nshepperd / gumbel-rao-pytorch
  ☆11Updated 4 years ago
• izmailovpavel / understandingbdl
  ☆248Updated 2 years ago
• bobby-he / Neural_Tangent_Kernel
  ☆67Updated 6 years ago
• tfjgeorge / nngeometry
  {KFAC,EKFAC,Diagonal,Implicit} Fisher Matrices and finite width NTKs in PyTorch
  ☆215Updated last month
• mila-iqia / milatools
  Tools to connect to and interact with the Mila cluster
  ☆76Updated last week
• noahgolmant / pytorch-hessian-eigenthings
  Efficient PyTorch Hessian eigendecomposition tools!
  ☆379Updated last year
• NicolasZucchet / Online-learning-LR-dependencies
  Implementation of the "Online learning of long-range dependencies" paper, NeurIPS 2023
  ☆19Updated 11 months ago
• amirgholami / adahessian
  ADAHESSIAN: An Adaptive Second Order Optimizer for Machine Learning
  ☆281Updated 2 years ago
• nng555 / cluster_examples
  ☆19Updated 5 years ago
• alecwangcq / KFAC-Pytorch
  Pytorch implementation of KFAC and E-KFAC (Natural Gradient).
  ☆131Updated 6 years ago
• tristandeleu / jax-meta-learning
  A collection of meta-learning algorithms in Jax
  ☆23Updated 3 years ago
• locuslab / edge-of-stability
  ☆71Updated 10 months ago
• toshas / torch_truncnorm
  Truncated Normal Distribution in PyTorch
  ☆85Updated last year
• f-dangel / curvlinops
  PyTorch linear operators for curvature matrices (Hessian, Fisher/GGN, KFAC, ...)
  ☆47Updated this week
• verbiiyo / rigl-torch
  Lightweight torch implementation of rigl, a sparse-to-sparse optimizer.
  ☆58Updated 3 years ago
• f-dangel / backpack
  BackPACK - a backpropagation package built on top of PyTorch which efficiently computes quantities other than the gradient.
  ☆594Updated 9 months ago
• cgarciae / nanoGPT-jax
  The simplest, fastest repository for training/finetuning medium-sized GPTs.
  ☆37Updated last year
• umutsimsekli / sgd_tail_index
  The codebase for the paper "A Tail-Index Analysis of Stochastic Gradient Noise in Deep Neural Networks"
  ☆25Updated 6 years ago
• IBM / OoD
  Repository for theory and methods for Out-of-Distribution (OoD) generalization
  ☆63Updated 3 years ago
• fwcore / mean-field-theory-deep-learning
  paper lists and information on mean-field theory of deep learning
  ☆78Updated 6 years ago
• rgrosse / csc2541_examples
  ☆30Updated 4 years ago
• lebrice / torch_jax_interop
  Simple tools to mix and match PyTorch and Jax - Get the best of both worlds!
  ☆34Updated 5 months ago
• cooper-org / cooper
  A general-purpose, deep learning-first library for constrained optimization in PyTorch
  ☆145Updated 4 months ago
• cybertronai / autograd-hacks
  ☆157Updated 3 years ago
• alisiahkoohi / Langevin-dynamics
  Sampling with gradient-based Markov Chain Monte Carlo approaches
  ☆108Updated last year
• team-approx-bayes / ivon
  IVON optimizer for neural networks based on variational learning.
  ☆72Updated 11 months ago
• kazukiosawa / asdl
  ASDL: Automatic Second-order Differentiation Library for PyTorch
  ☆190Updated 10 months ago
• google-research / jaxpruner
  ☆234Updated 8 months ago