kmkolasinski / deep-learning-notes
Experiments with Deep Learning
☆1,347Updated last year
Alternatives and similar repositories for deep-learning-notes:
Users that are interested in deep-learning-notes are comparing it to the libraries listed below
- Seminars DeepBayes Summer School 2018☆1,047Updated 5 years ago
- Compare GAN code.☆1,824Updated 3 years ago
- All About the GANs(Generative Adversarial Networks) - Summarized lists for GAN☆657Updated 6 years ago
- Probabilistic Torch is library for deep generative models that extends PyTorch☆887Updated 8 months ago
- An optimizer that trains as fast as Adam and as good as SGD.☆2,909Updated last year
- Implementation of: "Exploring Randomly Wired Neural Networks for Image Recognition"☆685Updated 5 years ago
- Practical assignments of the Deep|Bayes summer school 2019☆830Updated 4 years ago
- Lecture notes on Bayesian deep learning☆483Updated 6 years ago
- Topics course Mathematics of Deep Learning, NYU, Spring 18☆539Updated last year
- disentanglement_lib is an open-source library for research on learning disentangled representations.☆1,392Updated 3 years ago
- A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow☆2,215Updated 2 years ago
- Collection of generative models in Tensorflow☆3,915Updated 2 years ago
- Various tutorials given for welcoming new students at MILA.☆985Updated 6 years ago
- Research Framework for easy and efficient training of GANs based on Pytorch☆1,408Updated 2 years ago
- Bayesian Deep Learning Benchmarks☆666Updated last year
- Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.☆5,713Updated last month
- Annotated, understandable, and visually interpretable PyTorch implementations of: VAE, BIRVAE, NSGAN, MMGAN, WGAN, WGANGP, LSGAN, DRAGAN,…☆498Updated 6 years ago
- Pytorch implementation of Augmented Neural ODEs☆534Updated last year
- A curated list of awesome resources related to capsule networks☆975Updated 4 years ago
- Train AI models efficiently on medical images using any framework☆1,870Updated 7 months ago
- Course notes for CS228: Probabilistic Graphical Models.☆1,923Updated 9 months ago
- On the Variance of the Adaptive Learning Rate and Beyond☆2,539Updated 3 years ago
- This repository contains notebook implementations of the following Neural Process variants: Conditional Neural Processes (CNPs), Neural P…☆989Updated 3 years ago
- Tensorflow code for the Bayesian GAN (https://arxiv.org/abs/1705.09558) (NIPS 2017)☆1,014Updated 6 years ago
- Statistical Learning Theory (CS229T) Lecture Notes☆719Updated 5 years ago
- Sample implementation of Neural Ordinary Differential Equations☆260Updated 6 years ago
- PyTorch implementation of "Efficient Neural Architecture Search via Parameters Sharing"☆2,709Updated last year
- A curated list of resources dedicated to bayesian deep learning☆413Updated 7 years ago
- Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)☆1,160Updated 8 months ago
- Script that crawls meta data from ICLR OpenReview webpage. Tutorials on installing and using Selenium and ChromeDriver on Ubuntu.☆387Updated 5 years ago