Сustom torch style machine learning framework with automatic differentiation implemented on numpy, allows build GANs, VAEs, etc.
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Updated
Jun 7, 2024 - Python
Сustom torch style machine learning framework with automatic differentiation implemented on numpy, allows build GANs, VAEs, etc.
Combine B-Spline (BS) and Radial Basic Function (RBF) in Kolmogorov-Arnold Networks (KANs)
Lingvo
Basic image classification on the MNIST dataset using tensorflow, keras and neural networks.
A Biologically-Inspired Approach to Continual Learning through Adjustment Suppression and Sparsity Promotion
Custom implementation of a neural network from scratch using Python
Forward-Forward algorithm on MNIST
A PyTorch implementation of "EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks".
Implementation of SOPCNN on MNIST dataset
ResNet-style Autoencoders: Implementing and training AEs, VAEs, and CVAEs on provided dataset with TSNE visualizations.
A simple PyTorch implementation of conditional denoising diffusion probabilistic models (DDPM) on MNIST, Fashion-MNIST, and Sprite datasets
Amos optimizer with JEstimator lib.
A Convolutional Neural Network from scratch in python, using no ML libraries, only numpy and scipy
[pip install medmnist] 18x Standardized Datasets for 2D and 3D Biomedical Image Classification
Python toolkit for speech processing
A neural network designed to convert handwritten digits into their numerical value.
A template repository for GANs
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