SelimaC / large-scale-sparse-neural-networksLinks
☆11Updated 4 years ago
Alternatives and similar repositories for large-scale-sparse-neural-networks
Users that are interested in large-scale-sparse-neural-networks are comparing it to the libraries listed below
Sorting:
- Use Jax functions in Pytorch☆260Updated 2 years ago
- Code for our NeurIPS 2022 paper☆371Updated 3 years ago
- ADAHESSIAN: An Adaptive Second Order Optimizer for Machine Learning☆283Updated 2 years ago
- Interpolating natural cubic splines. Includes batching, GPU support, support for missing values, evaluating derivatives of the spline, an…☆276Updated 3 years ago
- A parallel ODE solver for PyTorch☆277Updated last year
- COMP760 Lecture Notes☆32Updated 3 years ago
- EigenPro Iteration in PyTorch☆19Updated 2 years ago
- Code for "Structured Sparsity Inducing Adaptive Optimizers for Deep Learning" in PyTorch☆18Updated 5 years ago
- A library for programmatically generating equivariant layers through constraint solving☆281Updated 2 years ago
- Butterfly matrix multiplication in PyTorch☆178Updated 2 years ago
- ☆794Updated last week
- Re-implementation of Hamiltonian Generative Networks paper☆35Updated 3 years ago
- Bayesian Optimization over Discrete and Mixed Spaces via Probabilistic Reparameterization☆76Updated 3 years ago
- This repository implements and evaluates convolutional networks on the Möbius strip as toy model instantiations of Coordinate Independent…☆78Updated 2 years ago
- Lie Algebra Convolutional Network implementation☆43Updated 4 years ago
- Block-sparse primitives for PyTorch☆158Updated 4 years ago
- Tensor Network Learning with PyTorch☆305Updated last year
- Differentiable scientific computing library☆156Updated last year
- TorchOpt is an efficient library for differentiable optimization built upon PyTorch.☆623Updated last week
- Lightweight torch implementation of rigl, a sparse-to-sparse optimizer.☆60Updated 4 years ago
- Turning SymPy expressions into PyTorch modules.☆156Updated 2 years ago
- PyTorch implementation of Mixer-nano (#parameters is 0.67M, originally Mixer-S/16 has 18M) with 90.83 % acc. on CIFAR-10. Training from s…☆36Updated 4 years ago
- Fully documented Pytorch implementation of the Equilibrium Propagation algorithm.☆40Updated 6 years ago
- Implementation of 1D, 2D, and 3D FFT convolutions in PyTorch. Much faster than direct convolutions for large kernel sizes.☆516Updated 2 years ago
- A custom PyTorch layer that is capable of implementing extremely wide and sparse linear layers efficiently☆51Updated 2 years ago
- Newton and Quasi-Newton optimization with PyTorch☆373Updated 2 weeks ago
- Pytorch Optimizer for Simulated Annealing☆27Updated 8 years ago
- TensorLy-Torch: Deep Tensor Learning with TensorLy and PyTorch☆82Updated last year
- The release codes of LA-MCTS with its application to Neural Architecture Search.☆482Updated 3 years ago
- Code for Neural Architecture Search without Training (ICML 2021)☆474Updated 4 years ago