deeplearning-math / slides
☆16Updated 5 years ago
Related projects ⓘ
Alternatives and complementary repositories for slides
- ☆12Updated 6 years ago
- Implementation of Adversarial Variational Optimization in PyTorch☆43Updated 6 years ago
- Computing the eigenvalues of Neural Tangent Kernel and Conjugate Kernel (aka NNGP kernel) over the boolean cube☆47Updated 5 years ago
- Computing various norms/measures on over-parametrized neural networks☆49Updated 6 years ago
- ☆61Updated last year
- Experiments with Neural ODEs and Adversarial Attacks☆44Updated 5 years ago
- Material for my Caltech tutorial on deep learning and tensor methods☆69Updated 6 years ago
- RNNprop☆36Updated 7 years ago
- [NeurIPS'19] [PyTorch] Adaptive Regularization in NN☆67Updated 5 years ago
- This repository is created to show the Neural Arithmetic Logic Unit implementation in python using Tensorflow. The code in this repo comp…☆43Updated 6 years ago
- Code for the paper Implicit Weight Uncertainty in Neural Networks☆65Updated 5 years ago
- A Python library for the Sequential Halving and Classification algorithm☆21Updated 2 years ago
- ☆17Updated 6 years ago
- The Variational Homoencoder: Learning to learn high capacity generative models from few examples☆33Updated last year
- ☆14Updated 5 years ago
- ☆42Updated 5 years ago
- A PyTorch implementation of the paper "Decoupled Parallel Backpropagation with Convergence Guarantee"☆30Updated 6 years ago
- SmoothOut: Smoothing Out Sharp Minima to Improve Generalization in Deep Learning☆23Updated 6 years ago
- Code for "Aggregated Momentum: Stability Through Passive Damping", Lucas et al. 2018☆34Updated 6 years ago
- Interpreting neural networks via the STREAK algorithm (streaming weak submodular maximization)☆22Updated 7 years ago
- Pytorch implementation of bytenet from "Neural Machine Translation in Linear Time" paper☆47Updated 6 years ago
- ☆29Updated 4 years ago
- Tensorflow implementation of Neural Arithmetic Logic Unit, Trask et al.☆29Updated 6 years ago
- A Course on Mathematical Theories of Deep Learning☆79Updated 3 years ago
- Distributed Learning by Pair-Wise Averaging☆53Updated 7 years ago
- Gated Orthogonal Recurrent Unit implementation in tensorflow☆35Updated 5 years ago
- Multiplicative Normalizing Flow (MNF) posteriors for variational Bayesian neural networks☆65Updated 4 years ago
- Implements an infinite sum of poisson-weighted convolutions☆26Updated 6 years ago
- Implementation of iterative inference in deep latent variable models☆43Updated 5 years ago
- numpy implementation of net 2 net from the paper Net2Net: Accelerating Learning via Knowledge Transfer http://arxiv.org/abs/1511.05641☆53Updated 8 years ago