Alternatives and similar repositories for akronomicon

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

• lightonai / lightonmuse
  Python client for the LightOn Muse API
  ☆14Updated 2 years ago
• lightonai / principled-dfa-training
  Code for our paper on best practices to train neural networks with direct feedback alignment (DFA).
  ☆21Updated 5 years ago
• lightonai / reinforcement-learning-opu
  Code to perform Model-Free Episodic Control using Aurora OPUs
  ☆17Updated 5 years ago
• lightonai / double-trouble-in-double-descent
  Double Trouble in the Double Descent Curve with Optical Processing Units.
  ☆12Updated 2 years ago
• lightonai / newma-md
  Conformational exploration SARS-CoV-2 (coronavirus responsible for COVID-19)
  ☆16Updated 2 years ago
• lightonai / opu-benchmarks
  ML benchmarks performance featuring LightOn's Optical Processing Unit (OPU) vs CPU and GPU.
  ☆22Updated last year
• hashemghanem / OPU_Graph_Classifier
  Fast graph classifier with optical random features
  ☆12Updated 4 years ago
• lightonai / supervised-random-projections
  Python implementation of supervised PCA, supervised random projections, and their kernel counterparts.
  ☆20Updated 5 years ago
• lightonai / dfa-scales-to-modern-deep-learning
  Study on the applicability of Direct Feedback Alignment to neural view synthesis, recommender systems, geometric learning, and natural la…
  ☆88Updated 2 years ago
• lightonai / transfer-learning-opu
  Optical Transfer Learning
  ☆27Updated last year
• lightonai / double-descent-curve
  Double Descent Curve with Optical Random Features
  ☆29Updated 2 years ago
• lixilinx / psgd_torch
  Pytorch implementation of preconditioned stochastic gradient descent (Kron and affine preconditioner, low-rank approximation precondition…
  ☆175Updated last week
• lightonai / contrastive-embeddings-for-neural-architectures
  Architecture embeddings independent from the parametrization of the search space
  ☆15Updated 4 years ago
• cgarciae / einop
  ☆60Updated 3 years ago
• shawwn / ml-notes
  ☆39Updated 2 years ago
• lightonai / lightonml
  Python library for running large-scale computations on LightOn's OPUs
  ☆36Updated 3 years ago
• znah / gdocs_distill_template
  Minimalistic Google Docs based workflow for Distill.pub
  ☆10Updated last year
• tobiaskatsch / GatedLinearRNN
  ☆27Updated last year
• jxbz / madam
  👩 Pytorch and Jax code for the Madam optimiser.
  ☆51Updated 4 years ago
• stanislavfort / dissect-git-re-basin
  Replicating and dissecting the git-re-basin project in one-click-replication Colabs
  ☆36Updated 2 years ago
• graphcore-research / out-of-the-box-fp8-training
  Demo of the unit_scaling library, showing how a model can be easily adapted to train in FP8.
  ☆44Updated 10 months ago
• crowsonkb / esgd
  ESGD-M is a stochastic non-convex second order optimizer, suitable for training deep learning models, for PyTorch.
  ☆56Updated 2 years ago
• ganguli-lab / degrees-of-freedom
  ☆37Updated 3 years ago
• teddykoker / grokking
  PyTorch implementation of "Grokking: Generalization Beyond Overfitting on Small Algorithmic Datasets"
  ☆37Updated 3 years ago
• jenkspt / gpt-jax
  Jax/Flax rewrite of Karpathy's nanoGPT
  ☆57Updated 2 years ago
• HazyResearch / butterfly
  Butterfly matrix multiplication in PyTorch
  ☆168Updated last year
• arc-community / arc-generative-DSL-infinite-data
  slowly building a set of infinite riddle generators for data-hungry methods
  ☆12Updated 2 years ago
• anokland / dfa-torch
  Training neural networks with back-prop, feedback-alignment and direct feedback-alignment
  ☆103Updated 7 years ago
• GallagherCommaJack / modulax
  ☆17Updated 9 months ago
• GuillaumeLeclerc / fastargs
  Python library for argument and configuration management
  ☆54Updated 2 years ago