Alternatives and similar repositories for lightonml

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

• lightonai / opu-benchmarks
  ML benchmarks performance featuring LightOn's Optical Processing Unit (OPU) vs CPU and GPU.
  ☆22Updated 2 years ago
• 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 / reinforcement-learning-opu
  Code to perform Model-Free Episodic Control using Aurora OPUs
  ☆17Updated 5 years ago
• lightonai / supervised-random-projections
  Python implementation of supervised PCA, supervised random projections, and their kernel counterparts.
  ☆19Updated 5 years ago
• lightonai / double-trouble-in-double-descent
  Double Trouble in the Double Descent Curve with Optical Processing Units.
  ☆12Updated 3 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 / double-descent-curve
  Double Descent Curve with Optical Random Features
  ☆29Updated 3 years ago
• flaport / torch_eunn
  A Pytorch implementation of an efficient unitary neural network (https://arxiv.org/abs/1612.05231)
  ☆33Updated 5 years ago
• convnets-as-gps / convnets-as-gps
  Code for "Deep Convolutional Networks as shallow Gaussian Processes"
  ☆16Updated 6 years ago
• msuzen / bristol
  Parallel random matrix tools and complexity for deep learning
  ☆33Updated last year
• fancompute / qpga
  Simulations of photonic quantum programmable gate arrays
  ☆108Updated 4 years ago
• gbaydin / difftorch
  A differentiation API for PyTorch
  ☆30Updated 5 years ago
• mcmahon-lab / Physics-Aware-Training
  Instructional implementation of Physics-Aware Training (PAT) with demonstrations on simulated experiments.
  ☆299Updated 10 months 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…
  ☆90Updated 3 years ago
• tensorly / torch
  TensorLy-Torch: Deep Tensor Learning with TensorLy and PyTorch
  ☆80Updated last year
• mattjj / ode-diff-notes
  ☆12Updated 4 years ago
• flaport / torch_sparse_solve
  A sparse KLU solver for PyTorch.
  ☆65Updated 3 years ago
• carnotresearch / cr-sparse
  Functional models and algorithms for sparse signal processing
  ☆93Updated last year
• smonsays / equilibrium-propagation
  Fully documented Pytorch implementation of the Equilibrium Propagation algorithm.
  ☆36Updated 5 years ago
• fancompute / neuroptica-notebooks
  Jupyter notebooks for the neuroptica simulator
  ☆11Updated 6 years ago
• patrick-kidger / FasterNeuralDiffEq
  Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)
  ☆87Updated 2 years ago
• CUAI / Neural-Manifold-Ordinary-Differential-Equations
  [NeurIPS 2020] Neural Manifold Ordinary Differential Equations (https://arxiv.org/abs/2006.10254)
  ☆119Updated 2 years ago
• IBM / neuroaikit
  Neuro-inspired AI Toolkit
  ☆27Updated 3 months ago
• fsschneider / DeepOBS
  DeepOBS: A Deep Learning Optimizer Benchmark Suite
  ☆106Updated last year
• PrincetonLIPS / RandomizedAutomaticDifferentiation
  Experiment code for "Randomized Automatic Differentiation"
  ☆67Updated 5 years ago
• tensorly / quantum
  Tensor-Based Quantum Machine Learning
  ☆120Updated 2 years ago
• CalculatedContent / ImplicitSelfRegularization
  Repo to accompany paper "Implicit Self-Regularization in Deep Neural Networks..."
  ☆45Updated 6 years ago
• nengo / pytorch-spiking
  Spiking neuron integration for PyTorch
  ☆41Updated 5 months ago
• patrick-kidger / sympytorch
  Turning SymPy expressions into PyTorch modules.
  ☆150Updated 2 years ago