Pinned Repositories
awesome-neural-geometry
A curated collection of resources and research related to the geometry of representations in the brain, deep networks, and beyond
BethesdaGP
Gaussian Process Models to Estimate Bethesda Units
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
NeuralLVM
Latent Variable Models for Neural Activity
NIPS2017
CNN Neural System Identification Model
PerceptualSimilarity
LPIPS metric. pip install lpips
Superposition
tmlr_2023
Official code for Controlling Neural Network Smoothness for Neural Algorithmic Reasoning (TMLR, 2023)
david-klindt's Repositories
david-klindt/NIPS2017
CNN Neural System Identification Model
david-klindt/NeuralLVM
Latent Variable Models for Neural Activity
david-klindt/Superposition
david-klindt/BethesdaGP
Gaussian Process Models to Estimate Bethesda Units
david-klindt/tmlr_2023
Official code for Controlling Neural Network Smoothness for Neural Algorithmic Reasoning (TMLR, 2023)
david-klindt/awesome-neural-geometry
A curated collection of resources and research related to the geometry of representations in the brain, deep networks, and beyond
david-klindt/PerceptualSimilarity
LPIPS metric. pip install lpips
david-klindt/challenge-iclr-2022
GitHub repository for the ICLR Computational Geometry & Topology Challenge 2021
david-klindt/cinic-10
A drop-in replacement for CIFAR-10.
david-klindt/cnn-sys-ident-1
Neural system identification with CNNs
david-klindt/code-for-the-world
A tutorial for Advanced Scientific Python Programming on organizing, documenting, and distributing code
david-klindt/datajoint-python
Relational data pipelines for the science lab
david-klindt/david-klindt.github.io
david-klindt/GPy
Gaussian processes framework in python
david-klindt/contrastive-ne
Contrastive neighbor embeddings
david-klindt/DiffusionSpectra
Analyze Spectrum of diffusion operator and eigen states
david-klindt/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
david-klindt/invertible-resnet
Official Code for Invertible Residual Networks
david-klindt/jax
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
david-klindt/massmail
Script to send mass mail
david-klindt/PyTorch-StudioGAN
StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image generation.
david-klindt/slow_disentanglement
Towards Nonlinear Disentanglement in Natural Data with Temporal Sparse Coding
david-klindt/sparse-inference
david-klindt/statlearning
david-klindt/TopoModelX
Topological Deep Learning