DavidBorts
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Frequency-Space Neural Scene Representations for FMCW Radar
Trainable, memory-efficient, and GPU-friendly PyTorch reproduction of AlphaFold 2
A preliminary implementation of BrainGNN
TextGrad: Automatic ''Differentiation'' via Text -- using large language models to backpropagate textual gradients.
The official implementation of CVPR 2022 paper: HDR-NeRF: High Dynamic Range Neural Radiance Fields
High order and sparse layers in pytorch. Lagrange Polynomial, Piecewise Lagrange Polynomial, Piecewise Discontinuous Lagrange Polynomial (Chebyshev nodes) and Fourier Series layers of arbitrary ord…
An easy to use PyTorch implementation of the Kolmogorov Arnold Network and a few novel variations
The PyTorch implementation of Generative Pre-trained Transformers (GPTs) using Kolmogorov-Arnold Networks (KANs) for language modeling
This project extends the idea of the innovative architecture of Kolmogorov-Arnold Networks (KAN) to the Convolutional Layers, changing the classic linear transformation of the convolution to learna…
Convolutional layer for Kolmogorov-Arnold Network (KAN)
Training small GPT-2 style models using Kolmogorov-Arnold networks.
Convert meshes into physical audio models and play them by striking mesh vertices in a 3D viewer.
Graph Attention Networks (https://arxiv.org/abs/1710.10903)
An efficient pure-PyTorch implementation of Kolmogorov-Arnold Network (KAN).
Some preliminary explorations of Mamba's context scaling.
A simple and efficient Mamba implementation in pure PyTorch and MLX.
Combustion engine simulator that generates realistic audio.
An unofficial toy implementation for NVAE 《A Deep Hierarchical Variational Autoencoder》
Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)
PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)