2prime / Numerical-Algorithms
Numerical Experiments
☆15Updated 6 years ago
Related projects ⓘ
Alternatives and complementary repositories for Numerical-Algorithms
- Seminar on Selected Tools☆23Updated 6 years ago
- Paper Reading☆73Updated 6 years ago
- ☆18Updated 6 years ago
- Experiments with Neural ODEs and Adversarial Attacks☆44Updated 5 years ago
- Paper List For Linking ODE and Deep Learning☆243Updated 4 years ago
- Group project "Algorithms for large-scale optimal transport". Implement ADMMs and Sinkhorn's Algorithms.☆11Updated 5 years ago
- Convolutional Neural Tangent Kernel☆107Updated 5 years ago
- Code For Beyond Finite Layer Neural Network:Bridging Deep Architects and Numerical Differential Equations☆16Updated 5 years ago
- paper lists and information on mean-field theory of deep learning☆75Updated 5 years ago
- PyTorch implementation of Hessian Free optimisation☆43Updated 4 years ago
- Visualization of mean field and neural tangent kernel regime☆20Updated 3 months ago
- ☆82Updated 4 years ago
- ☆14Updated 6 years ago
- ☆36Updated 3 years ago
- Repository containing Pytorch code for EKFAC and K-FAC perconditioners.☆140Updated last year
- A tensorflow implementation of the NIPS 2018 paper "Variational Inference with Tail-adaptive f-Divergence"☆20Updated 5 years ago
- Implementation of the Regularized Nonlinear Acceleration algorithm☆11Updated 6 years ago
- Continuous-time gradient flow for generative modeling and variational inference☆29Updated 6 years ago
- Monotone operator equilibrium networks☆51Updated 4 years ago
- hessian in pytorch☆185Updated 4 years ago
- Regularization, Neural Network Training Dynamics☆14Updated 4 years ago
- Machine Learning Course Materials, Tsinghua IIIS☆15Updated 6 years ago
- Pytorch implementation of KFAC and E-KFAC (Natural Gradient).☆127Updated 5 years ago
- Limitations of the Empirical Fisher Approximation☆45Updated 4 years ago
- Code for "A Spectral Approach to Gradient Estimation for Implicit Distributions" (ICML'18)☆32Updated last year
- A variational inference method with accurate uncertainty estimation. It uses a new semi-implicit variational family built on neural netwo…☆53Updated 3 weeks ago
- The official code for Efficient Learning of Generative Models via Finite-Difference Score Matching☆12Updated last year
- Code for the article "What if Neural Networks had SVDs?", to be presented as a spotlight paper at NeurIPS 2020.☆69Updated 3 months ago
- Stochastic Optimization for Optimal Transport☆22Updated 8 years ago