david-klindt's repositories
BethesdaGP
Gaussian Process Models to Estimate Bethesda Units
awesome-neural-geometry
A curated collection of resources and research related to the geometry of representations in the brain, deep networks, and beyond
PerceptualSimilarity
LPIPS metric. pip install lpips
challenge-iclr-2022
GitHub repository for the ICLR Computational Geometry & Topology Challenge 2021
cinic-10
A drop-in replacement for CIFAR-10.
cnn-sys-ident-1
Neural system identification with CNNs
code-for-the-world
A tutorial for Advanced Scientific Python Programming on organizing, documenting, and distributing code
datajoint-python
Relational data pipelines for the science lab
contrastive-ne
Contrastive neighbor embeddings
DiffusionSpectra
Analyze Spectrum of diffusion operator and eigen states
ece3
The lectures present concepts from linear algebra, such as matrix computations, systems of linear equations, eigenspace decomposition, inner-product, orthogonality, least-squares and linear regression. Students actively engage with the materials with an introduction to Python programming
invertible-resnet
Official Code for Invertible Residual Networks
jax
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
PyTorch-StudioGAN
StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image generation.
slow_disentanglement
Towards Nonlinear Disentanglement in Natural Data with Temporal Sparse Coding
TopoModelX
Topological Deep Learning