2prime / Numerical-AlgorithmsLinks
Numerical Experiments
☆15Updated 7 years ago
Alternatives and similar repositories for Numerical-Algorithms
Users that are interested in Numerical-Algorithms are comparing it to the libraries listed below
Sorting:
- Paper List For Linking ODE and Deep Learning☆246Updated 5 years ago
- Seminar on Selected Tools☆23Updated 7 years ago
- ☆18Updated 7 years ago
- Experiments with Neural ODEs and Adversarial Attacks☆44Updated 6 years ago
- Paper Reading☆73Updated 7 years ago
- Implementation of the Regularized Nonlinear Acceleration algorithm☆11Updated 6 years ago
- Convolutional Neural Tangent Kernel☆113Updated 5 years ago
- Repository containing Pytorch code for EKFAC and K-FAC perconditioners.☆144Updated 2 years ago
- Pytorch implementation of KFAC and E-KFAC (Natural Gradient).☆132Updated 6 years ago
- paper lists and information on mean-field theory of deep learning☆78Updated 6 years ago
- Optimization with orthogonal constraints and on general manifolds☆129Updated 5 years ago
- hessian in pytorch☆187Updated 4 years ago
- PyTorch implementation of Hessian Free optimisation☆43Updated 5 years ago
- Code for "A Spectral Approach to Gradient Estimation for Implicit Distributions" (ICML'18)☆33Updated 2 years ago
- Code for the article "What if Neural Networks had SVDs?", to be presented as a spotlight paper at NeurIPS 2020.☆75Updated last year
- Monotone operator equilibrium networks☆53Updated 5 years ago
- code for Stein Neural Sampler☆22Updated 6 years ago
- ☆67Updated 6 years ago
- Preconditioned Conjugate Gradient in Pytorch☆140Updated last year
- Continuous-time gradient flow for generative modeling and variational inference☆32Updated 6 years ago
- Random Fourier Features☆49Updated 8 years ago
- Regularization, Neural Network Training Dynamics☆14Updated 5 years ago
- The official code for Efficient Learning of Generative Models via Finite-Difference Score Matching☆12Updated 2 years ago
- Machine Learning Course Materials, Tsinghua IIIS☆18Updated 7 years ago
- ☆103Updated 4 years ago
- The codebase for the paper "A Tail-Index Analysis of Stochastic Gradient Noise in Deep Neural Networks"☆25Updated 5 years ago
- NTK reading group☆87Updated 5 years ago
- Regularized Neural ODEs (RNODE)☆84Updated 4 years ago
- Limitations of the Empirical Fisher Approximation☆47Updated 5 months ago
- code for the paper "Stein Variational Gradient Descent (SVGD): A General Purpose Bayesian Inference Algorithm"☆100Updated 6 years ago