raghakot / demystifying-convnets
Collection of notebooks exploring conv nets in detail.
☆10Updated 7 years ago
Related projects ⓘ
Alternatives and complementary repositories for demystifying-convnets
- Implementation of Trimmed Grassmann Average (TGA) by Hauberg S et al. in Python☆23Updated 9 years ago
- A fastai-free onnx implementation for fastai☆12Updated last year
- Stats 479 Project☆22Updated 5 years ago
- Generalized Compressed Network Search with PyTorch☆26Updated 7 years ago
- f-divergence based t-SNE☆16Updated 2 years ago
- Lifelong Variational Autoencoder☆14Updated 6 years ago
- Experiments with self-supervised learning☆11Updated 4 years ago
- Keras implementation of NovoGrad☆20Updated 4 years ago
- A disciplined approach to neural network parameters - Reviewing the approach for setting Hyper parameters by Leslie Smith☆11Updated 6 years ago
- Code for "Aggregated Momentum: Stability Through Passive Damping", Lucas et al. 2018☆34Updated 6 years ago
- Repository for the code of the paper "Neural Networks Regularization Through Class-wise Invariant Representation Learning".☆12Updated 7 years ago
- Code for our paper "CliqueCNN: Deep Unsupervised Exemplar Learning" https://arxiv.org/abs/1608.08792☆23Updated 7 years ago
- Pytorch package for geometric softmax☆12Updated 5 years ago
- ☆45Updated 5 years ago
- A thorough, straightforward, un-intimidating introduction to Gaussian processes in NumPy.☆16Updated 6 years ago
- stochs: fast stochastic solvers for machine learning in C++ and Cython☆26Updated 2 years ago
- The Shape of Data: Intrinsic Distance for Comparing Data Distributions☆12Updated 5 years ago
- A lightweight library for tensorflow 2.0☆66Updated 4 years ago
- Implementation of the ALI-G algorithm (PyTorch, Tensorflow)☆22Updated 3 years ago
- Compression algorithms (like the well-known zip file compression) can be used for machine learning purposes, specifically for classifying…☆36Updated 4 years ago
- Run Pytorch graphs inside Theano graph (and pytorch wrapper for AIS for generative models).☆18Updated 7 years ago
- Code to reproduce all the results in the paper: "Learning dynamics of linear denoising autoencoders." (ICML 2018)☆12Updated 6 years ago
- This repository provides the code for replicating the experiments in the paper "Building One-Shot Semi-supervised (BOSS) Learning up to F…☆36Updated 4 years ago
- Selecting features as (network) nodes☆11Updated 6 years ago
- Universal Python binding for the LMDB 'Lightning' Database☆12Updated 7 years ago
- A very naive and simple benchmark between dlib and pytorch in terms of space and time☆19Updated 4 years ago
- Convenient hyperparameter optimization☆14Updated 6 months ago
- Quick modules to turn regular Neural Networks to Bayesian Neural Networks with Dropout.☆35Updated 3 years ago
- Learning algorithms introduced in "A PAC-Bayes Sample Compression Approach to Kernel Methods" (ICML 2011)☆9Updated 10 years ago