colah / NN-Topology-Post
A blog post exploring a connection between neural networks and topology
☆98Updated 6 years ago
Related projects ⓘ
Alternatives and complementary repositories for NN-Topology-Post
- ☆90Updated 7 years ago
- Capsule network with variations. Originally proposed by Tieleman & Hinton : http://www.cs.toronto.edu/~tijmen/tijmen_thesis.pdf☆170Updated 7 years ago
- Warehouse for running small experiments and sharing them with the group☆29Updated 8 years ago
- Neuroevolution as a direct policy search deep reinforcement learning method, implemented using Keras and DEAP.☆70Updated 3 years ago
- Topics on theoretical, mathematical aspects of DL☆71Updated 8 years ago
- Python package for modular Bayesian optimization☆134Updated 3 years ago
- Neural network training using iterated projections.☆89Updated 7 years ago
- Repo for a paper about constructing priors on very deep models.☆70Updated 8 years ago
- Dropout As A Bayesian Approximation: Code☆199Updated 9 years ago
- What My Deep Model Doesn't Know...☆116Updated 9 years ago
- An expressive shorthand to describe a deep learning architecture☆73Updated 5 years ago
- Fastidious accounting of entropy streams into and out of optimization and sampling algorithms.☆31Updated 8 years ago
- Future Gadget Machine☆69Updated 6 years ago
- DropNeuron: Simplifying the Structure of Deep Neural Networks☆57Updated 8 years ago
- Forward-mode Automatic Differentiation for TensorFlow☆140Updated 6 years ago
- A bare-bones TensorFlow framework for Bayesian deep learning and Gaussian process approximation☆127Updated 3 years ago
- Scrapes the abstracts to NIPS 2017 papers.☆40Updated 7 years ago
- DrMAD☆108Updated 7 years ago
- Javascript code for "visual Turing tests"☆51Updated 8 years ago
- Implementation of search-convolutional neural networks (SCNNs)☆52Updated 7 years ago
- C++ code for the RDIS algorithm from "Recursive Decomposition for Nonconvex Optimization." Friesen and Domingos, IJCAI 2015.☆57Updated 9 years ago
- Variational and semi-supervised neural network toppings for Lasagne☆208Updated 8 years ago
- Demos demonstrating the difference between homoscedastic and heteroscedastic regression with dropout uncertainty.☆139Updated 8 years ago
- RNN with differentiable structure (number of neurons)☆22Updated 8 years ago
- Code for paper "L4: Practical loss-based stepsize adaptation for deep learning"☆124Updated 5 years ago
- FractalNet implementation in Keras: Ultra-Deep Neural Networks without Residuals☆155Updated 7 years ago
- Code and report for APMA136 Final Project☆19Updated 9 years ago
- A minimal implementation of an Variational Auto-Encoder☆36Updated 6 years ago
- Courera Version of Graphical Model.. Cooperate with Jian Guo.☆121Updated 7 years ago
- Cluttered MNIST Dataset☆50Updated 9 years ago