DSSC-projects / veniLinks
A simple Python package for deep learning using forward automatic differentiation based on JAX.
☆14Updated 2 years ago
Alternatives and similar repositories for veni
Users that are interested in veni are comparing it to the libraries listed below
Sorting:
- Tools for JAX☆47Updated last week
- [TMLR 2022] Curvature access through the generalized Gauss-Newton's low-rank structure: Eigenvalues, eigenvectors, directional derivative…☆17Updated last year
- Turning SymPy expressions into JAX functions☆45Updated 4 years ago
- Wraps PyTorch code in a JIT-compatible way for JAX. Supports automatically defining gradients for reverse-mode AutoDiff.☆54Updated last month
- Riemannian Optimization Using JAX☆49Updated last year
- A lightweight, multithreaded Python package for sketching, column selection, leverage scores and related computations.☆20Updated last month
- Convolutions and more as einsum for PyTorch☆16Updated last year
- Computing gradients and Hessians of feed-forward networks with GPU acceleration☆18Updated last year
- Fine-grained, dynamic control of neural network topology in JAX.☆21Updated last year
- Differentiable interface to FEniCS/Firedrake for JAX using dolfin-adjoint/pyadjoint☆96Updated last year
- Differentiable interface to FEniCS for JAX☆54Updated 4 years ago
- A JAX-based research framework for writing differentiable numerical simulators with arbitrary discretizations☆128Updated 9 months ago
- Supplementary code for the paper "Meta-Solver for Neural Ordinary Differential Equations" https://arxiv.org/abs/2103.08561☆25Updated 4 years ago
- ☆14Updated 2 years ago
- Inference on non-linear dynamical systems written in JAX☆11Updated 4 years ago
- Official code for UnICORNN (ICML 2021)☆27Updated 3 years ago
- Gradient-based constrained optimization for JAX☆32Updated 2 years ago
- Visualize, create, and operate on pytrees in the most intuitive way possible.☆45Updated 5 months ago
- Pytorch implementation of SuperPolyak subgradient method.☆43Updated 2 years ago
- simple JAX-/NumPy-based implementations of NGD with exact/approximate Fisher Information Matrix both in parameter-space and function-spac…☆14Updated 4 years ago
- A LinearOperator implementation for PyTorch☆18Updated 4 years ago
- Pytrees + dataclasses ❤️☆63Updated 2 months ago
- Deep learning lectures I am holding for the MSc on Data Science and Scientific Computing☆13Updated 2 years ago
- Exponential families for JAX☆71Updated this week
- Python Algorithms for Randomized Linear Algebra☆54Updated 2 years ago
- Numerically Solving Parametric Families of High-Dimensional Kolmogorov Partial Differential Equations via Deep Learning (NeurIPS 2020)☆22Updated 2 years ago
- [NeurIPS'19] Deep Equilibrium Models Jax Implementation☆40Updated 4 years ago
- Solving Optimization Problems with JAX, code and PDF☆16Updated 5 years ago
- An implementation of the 1. Parallel, 2. Streaming, 3. Randomized SVD using MPI4Py☆62Updated 4 years ago
- Models and code for the ICLR 2020 workshop paper "Towards Understanding Normalization in Neural ODEs"☆16Updated 5 years ago