kmkolasinski / deep-learning-notes
Experiments with Deep Learning
☆1,348Updated 2 years ago
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☆1,046Updated 5 years ago
- Lecture notes on Bayesian deep learning☆484Updated 7 years ago
- Probabilistic Torch is library for deep generative models that extends PyTorch☆886Updated 10 months ago
- An optimizer that trains as fast as Adam and as good as SGD.☆2,910Updated last year
- This repository contains notebook implementations of the following Neural Process variants: Conditional Neural Processes (CNPs), Neural P…☆993Updated 4 years ago
- Compare GAN code.☆1,821Updated 4 years ago
- Practical assignments of the Deep|Bayes summer school 2019☆830Updated 4 years ago
- PyTorch implementation of "Efficient Neural Architecture Search via Parameters Sharing"☆2,711Updated last year
- Pytorch implementation of Augmented Neural ODEs☆537Updated 2 years ago
- Statistical Learning Theory (CS229T) Lecture Notes☆717Updated 5 years ago
- Implementation of: "Exploring Randomly Wired Neural Networks for Image Recognition"☆685Updated 5 years ago
- Script that crawls meta data from ICLR OpenReview webpage. Tutorials on installing and using Selenium and ChromeDriver on Ubuntu.☆387Updated 5 years ago
- TensorFlow Code for paper "Efficient Neural Architecture Search via Parameter Sharing"☆1,579Updated 5 years ago
- Topics course Mathematics of Deep Learning, NYU, Spring 18☆541Updated last year
- Various tutorials given for welcoming new students at MILA.☆985Updated 6 years ago
- Simple tutorials for building neural networks with TensorFlow Eager mode.☆509Updated 5 years ago
- All About the GANs(Generative Adversarial Networks) - Summarized lists for GAN☆654Updated 6 years ago
- On the Variance of the Adaptive Learning Rate and Beyond☆2,546Updated 3 years ago
- Notebooks about Bayesian methods for machine learning☆1,852Updated last year
- Fast and Easy Infinite Neural Networks in Python☆2,325Updated last year
- Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.☆5,846Updated last month
- Sample implementation of Neural Ordinary Differential Equations☆259Updated 6 years ago
- disentanglement_lib is an open-source library for research on learning disentangled representations.☆1,399Updated 3 years ago
- Normalizing flows in PyTorch. Current intended use is education not production.☆858Updated 5 years ago
- A curated list of awesome resources related to capsule networks☆977Updated 5 years ago
- Jupyter notebook with Pytorch implementation of Neural Ordinary Differential Equations☆737Updated last year
- Implementations of a number of generative models in Tensorflow 2. GAN, VAE, Seq2Seq, VAEGAN, GAIA, Spectrogram Inversion. Everything is s…☆998Updated 3 years ago
- Demo of running NNs across different frameworks☆1,652Updated 2 years ago
- Annotated, understandable, and visually interpretable PyTorch implementations of: VAE, BIRVAE, NSGAN, MMGAN, WGAN, WGANGP, LSGAN, DRAGAN,…☆498Updated 6 years ago
- A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow☆2,218Updated 2 years ago