Alternatives and similar repositories for transfer-learning-opu

Users that are interested in transfer-learning-opu 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 / 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
• lightonai / double-trouble-in-double-descent
  Double Trouble in the Double Descent Curve with Optical Processing Units.
  ☆12Updated 3 years ago
• lightonai / double-descent-curve
  Double Descent Curve with Optical Random Features
  ☆30Updated 3 years ago
• lightonai / lightonml
  Python library for running large-scale computations on LightOn's OPUs
  ☆36Updated 3 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
• swing-research / deepmesh
  Random Mesh Projectors for Inverse Problems
  ☆24Updated 4 years ago
• bwohlberg / sporco-cuda
  CUDA extension for the SPORCO project
  ☆18Updated 4 years ago
• IGITUGraz / L2L
  Learning to Learn: Gradient-free Optimization framework
  ☆36Updated 4 years ago
• AlliedToasters / synapses
  ☆71Updated 5 years ago
• jayanthkoushik / torch-gel
  Group elastic net implementation in PyTorch.
  ☆46Updated 5 years ago
• microsoft / vi-hds
  Variational inference for hierarchical dynamical systems
  ☆48Updated last year
• smortezavi / Randomized_SVD_GPU
  Attempt to speed Randomized SVD(Singular Value Decomposition) Using pytorch and it's gnu capabilities.
  ☆17Updated 7 years ago
• soudry / ROI_detect
  Automatic ROI Detection
  ☆19Updated 9 years ago
• msuzen / bristol
  Parallel random matrix tools and complexity for deep learning
  ☆33Updated last year
• IPL-UV / jaxkern
  A lightweight didactic library of kernel methods using the back-end JAX.
  ☆12Updated 2 years ago
• tensorly / torch
  TensorLy-Torch: Deep Tensor Learning with TensorLy and PyTorch
  ☆81Updated last year
• CUAI / Neural-Manifold-Ordinary-Differential-Equations
  [NeurIPS 2020] Neural Manifold Ordinary Differential Equations (https://arxiv.org/abs/2006.10254)
  ☆121Updated 2 years ago
• lixilinx / psgd_tf
  Tensorflow implementation of preconditioned stochastic gradient descent
  ☆34Updated last year
• artix41 / ALFI-pytorch
  Code for the paper Recurrent Machines for Likelihood-Free Inference
  ☆15Updated 6 years ago
• AndPotap / halfpres_gps
  ☆16Updated 2 years ago
• xbresson / IPAM_Tutorial_2019
  Notebooks for IPAM Tutorial, March 15 2019
  ☆24Updated 6 years ago
• juntang-zhuang / TorchDiffEqPack
  ☆48Updated 2 years ago
• joelhochstetter / NWNsim
  ☆10Updated 4 years ago
• XtractOpen / Meganet.m
  A fresh approach to deep learning written in MATLAB
  ☆24Updated 3 years ago
• plazadeloslagartos / eigentorch
  Implements PyTorch model which updates SPD weights on Riemannian Manifold. Based on Huang, Z., & Van Gool, L. (2016). A Riemannian Netwo…
  ☆12Updated 6 years ago
• convnets-as-gps / convnets-as-gps
  Code for "Deep Convolutional Networks as shallow Gaussian Processes"
  ☆16Updated 6 years ago