Alternatives and similar repositories for optuna-optimization-for-PyTorch-CNN

Users that are interested in optuna-optimization-for-PyTorch-CNN are comparing it to the libraries listed below

• bsplku / 3dcnn4fmri
  ☆20Updated 5 years ago
• leoniloris / 1D-Convolutional-Variational-Autoencoder
  Convolutional Variational Autoencoder for classification and generation of time-series
  ☆43Updated 5 years ago
• QingyuZhao / VAE-for-Regression
  A toy example of VAE-regression network
  ☆74Updated 5 years ago
• otenim / Numpy-ELM
  A Numpy Implementation of Extreme Learning Machine (ELM)
  ☆35Updated 6 years ago
• sltzgs / xai-regression
  ☆29Updated last year
• TannerGilbert / Model-Interpretation
  Overview of different model interpretability libraries.
  ☆51Updated 3 years ago
• TAMU-ESP / pinn-for-physiological-timeseries
  ☆35Updated 2 years ago
• praritagarwal / Visualizing-CNN-Layers
  Project to visualize the kernels and the outputs of the individual layers of a CNN built in pytorch.
  ☆18Updated 5 years ago
• EscVM / EscVM_YT
  EscVM YouTube Channel Repository. Start from Notebooks ⬅️
  ☆65Updated last year
• FrancoisPorcher / awesome-ai-tutorials
  The best collection of AI tutorials to make you a boss of Data Science!
  ☆116Updated 6 months ago
• deontaepharr / Diagnosing-ADHD-With-ConvLSTM
  Classifying ADHD fMRI data with a CNN+LSTM Model
  ☆78Updated 6 years ago
• fbcotter / scatnet_learn
  Repo containing code to do the learnable scatternet/invariant convolutional layer
  ☆32Updated 6 years ago
• kamilest / brain-age-gnn
  Implementation for Stankevičiūtė et al. "Population graph GNNs for brain age prediction". GRL+ Workshop, ICML 2020.
  ☆41Updated 4 months ago
• ggbioing / mcvae
  Multi-Channel Variational Auto Encoder: A Bayesian Deep Learning Framework for Modeling High-Dimensional Heterogeneous Data.
  ☆32Updated 4 years ago
• ajayarunachalam / pynmsnn
  NeuroMorphic Predictive Model with Spiking Neural Networks (SNN) using Pytorch
  ☆34Updated 3 years ago
• DurstewitzLab / HierarchicalDSR
  Hierarchical multi-system training framework for dynamical systems reconstruction (from Brenner et al. 2025 ICLR)
  ☆17Updated 11 months ago
• zavareh1 / Wav-KAN
  This repository contains the codes to replicate the simulations from the paper: "Wav-KAN: Wavelet Kolmogorov-Arnold Networks". It showca…
  ☆158Updated 8 months ago
• philipdarke / torchtime
  Benchmark time series data sets for PyTorch
  ☆36Updated last year
• stevenah / ecg-attention-maps
  ☆15Updated last year
• akashmondal1810 / UncertaintyEstimation
  Uncertainty Estimation Using Deep Neural Network and Gradient Boosting Methods
  ☆22Updated 4 years ago
• rsinghlab / GNN-Tumor-Seg
  Using Graph Neural Networks to Segment MRIs of Brain Tumors
  ☆29Updated 3 years ago
• clementchadebec / pyraug
  Data Augmentation with Variational Autoencoders (TPAMI)
  ☆143Updated 3 years ago
• tsy935 / graphs4mer
  ☆62Updated 2 years ago
• CUAI / Riemannian-Residual-Neural-Networks
  [NeurIPS 2023] Riemannian Residual Neural Networks (https://arxiv.org/abs/2006.10254)
  ☆23Updated 2 years ago
• nspunn1993 / BT-Unet
  BT-Unet: A self-supervised learning framework
  ☆35Updated 3 years ago
• Nguyen-Hoa / Activation-Maximization
  Python implementation of activation maximization with PyTorch.
  ☆28Updated 5 years ago
• Sakib1263 / TF-1D-2D-Segmentation-End2EndPipelines
  1D and 2D Segmentation Models with options such as Deep Supervision, Guided Attention, BiConvLSTM, Autoencoder, etc.
  ☆32Updated last year
• anoop23IISc / BrainNetworks
  Graph Convolutional Neural Networks for Alzheimer’s Classification with transfer learning and HPC methods
  ☆12Updated 4 years ago
• bh1995 / AF-classification
  The repo is for the Heart Disease classification project using Transformer Encoders in PyTorch.
  ☆41Updated 4 years ago
• adapt-python / adapt
  Awesome Domain Adaptation Python Toolbox
  ☆363Updated 2 months ago