pnnl / DeepDataProfilerLinks
Python library for analyzing the internal structure of deep neural networks.
☆19Updated 2 months ago
Alternatives and similar repositories for DeepDataProfiler
Users that are interested in DeepDataProfiler are comparing it to the libraries listed below
Sorting:
- Bayesian algorithm execution (BAX)☆51Updated 4 years ago
- Normalizing Flows using JAX☆85Updated last year
- A library for uncertainty quantification based on PyTorch☆122Updated 3 years ago
- ☆51Updated 2 years ago
- Fine-grained, dynamic control of neural network topology in JAX.☆21Updated 2 years ago
- Riemannian Optimization Using JAX☆53Updated 2 years ago
- Implementation of Action Matching☆46Updated 2 years ago
- Random feature latent variable models in Python☆23Updated 2 years ago
- A collection of graph neural networks implementations in JAX☆35Updated last year
- Running Jax in PyTorch Lightning☆113Updated 10 months ago
- [NeurIPS 2020] Task-Agnostic Amortized Inference of Gaussian Process Hyperparameters (AHGP)☆23Updated 4 years ago
- Riemannian Convex Potential Maps☆67Updated 2 years ago
- Meta-learning inductive biases in the form of useful conserved quantities.☆37Updated 2 years ago
- Bayesian and Maximum Likelihood Implementation of the Normalizing Flow Network (NFN): https://arxiv.org/abs/1907.08982☆21Updated 4 years ago
- SciML Benchmarking Suite for AI for Science☆42Updated last year
- Graph Convolutional Networks in JAX☆33Updated 4 years ago
- Implementation of approximate free-energy minimization in PyTorch☆20Updated 4 years ago
- ☆31Updated last year
- A library implementing the kernels for and experiments using extrinsic gauge equivariant vector field Gaussian Processes☆25Updated 4 years ago
- Quantification of Uncertainty with Adversarial Models☆29Updated 2 years ago
- Library for normalizing flows and neural flows.☆25Updated 3 years ago
- ☆14Updated 2 years ago
- Discrete Bayesian optimization with LLMs, PEFT finetuning methods, and the Laplace approximation.☆21Updated last year
- TensorLy-Torch: Deep Tensor Learning with TensorLy and PyTorch☆81Updated last year
- Repository for Autobahn: Automorphism Based Graph Neural Networks☆30Updated 3 years ago
- Differentiable Euler Characteristic Transform☆17Updated last year
- Hamiltonian Dynamics with Non-Newtonian Momentum for Rapid Sampling☆36Updated 3 years ago
- Representation Learning on Topological Domains☆88Updated this week
- Implementation of Action Matching for the Schrödinger equation☆25Updated 2 years ago
- Multi-framework implementation of Deep Kernel Shaping and Tailored Activation Transformations, which are methods that modify neural netwo…☆74Updated 4 months ago