negrinho / research_toolboxLinks
Utilities to help manage a machine learning experimental workflow
☆20Updated 4 years ago
Alternatives and similar repositories for research_toolbox
Users that are interested in research_toolbox are comparing it to the libraries listed below
Sorting:
- A Python package for intrinsic dimension estimation☆96Updated 4 months ago
- GitHub repository for the ICLR Computational Geometry & Topology Challenge 2021☆54Updated 3 years ago
- Discontinuous Hamiltonian Monte Carlo in JAX☆42Updated 5 years ago
- ☆108Updated 3 years ago
- Graduate topics course on learning discrete latent structure.☆67Updated 7 years ago
- "Parameter origami" -- folding and unfolding collections of parameters for optimization and sensitivity analysis.☆14Updated 2 years ago
- A Machine Learning workflow for Slurm.☆152Updated 5 years ago
- Pytorch implementation of the Power Spherical distribution☆75Updated last year
- Normalizing Flows using JAX☆86Updated 2 years ago
- Repo to accompany paper "Implicit Self-Regularization in Deep Neural Networks..."☆47Updated 7 years ago
- Gaussian Processes and Statistical Decision-making in Non-Euclidean Spaces☆199Updated 3 years ago
- ☆53Updated 2 years ago
- A minimal implementation of a VAE with BinConcrete (relaxed Bernoulli) latent distribution in TensorFlow.☆22Updated 6 years ago
- Quasi-Newton algorithm for joint-diagonalization☆34Updated 3 years ago
- Jax-based MaxEnt☆17Updated 6 years ago
- Code accompanying VarGrad: A Low-Variance Gradient Estimator for Variational Inference☆12Updated 5 years ago
- PyTorch implementation comparison of old and new method of determining eigenvectors from eigenvalues.☆98Updated 4 years ago
- Multislice PHATE for tensor embeddings☆61Updated 4 years ago
- Framework-agnostic library for checking array/tensor shapes at runtime.☆46Updated 4 years ago
- Repo for open sourcing the NAMs.☆25Updated 5 years ago
- ☆59Updated 7 years ago
- Codebase for "Demystifying Black-box Models with Symbolic Metamodels", NeurIPS 2019.☆51Updated 6 years ago
- Experiment code for "Randomized Automatic Differentiation"☆67Updated 5 years ago
- A curated collection of papers on probabilistic circuits, computational graphs encoding tractable probability distributions.☆51Updated 2 years ago
- Parametric UMAP embeddings for representation and semisupervised learning. From the paper "Parametric UMAP: learning embeddings with deep…☆152Updated 5 years ago
- k-Nearest Neighbor Information Estimator☆26Updated 7 years ago
- Probabilistic Solution of Differential Equations☆13Updated 3 years ago
- [NeurIPS 2020] Neural Manifold Ordinary Differential Equations (https://arxiv.org/abs/2006.10254)☆125Updated 2 years ago
- Material for the EPFL master course "A Network Tour of Data Science", edition 2019.☆69Updated 6 years ago
- A python library to discover and mitigate biases in machine learning models and datasets☆20Updated 2 years ago