colah / Motivated-TopologyLinks
A topology textbook with a hubristic title
☆31Updated 9 years ago
Alternatives and similar repositories for Motivated-Topology
Users that are interested in Motivated-Topology are comparing it to the libraries listed below
Sorting:
- A blog post exploring a connection between neural networks and topology☆102Updated 6 years ago
- Fastidious accounting of entropy streams into and out of optimization and sampling algorithms.☆33Updated 9 years ago
- stochs: fast stochastic solvers for machine learning in C++ and Cython☆26Updated 3 years ago
- Matlab code implementing Minimum Probability Flow Learning.☆69Updated 11 years ago
- Turning Javascript into a probabilistic programming language☆58Updated 8 years ago
- The Design and Implementation of Probabilistic Programming Languages☆179Updated last year
- Propagation Technique for Solving Low Rank Matrix Completion☆37Updated 8 years ago
- Sample code for generative recurrent autoencoders.☆26Updated 8 years ago
- Python implementation of Markov Jump Hamiltonian Monte Carlo☆24Updated 8 years ago
- ☆17Updated 7 years ago
- A Cython interface to FLANN☆24Updated 4 years ago
- A runtime shape checker and auto-annotator for tensor programs (pronounced "stanley")☆40Updated 5 years ago
- This repository houses the code for the community website http://www.probabilistic-numerics.org☆36Updated 5 years ago
- A neural assembly compiler for pyTorch based on adaptive-neural-compilation☆27Updated 7 years ago
- Automatic Discovery of the Statistical Types of Variables in a Dataset☆23Updated 7 years ago
- Information Theoretic Learning Auto-encoders☆58Updated 9 years ago
- a fully-differentiable graphical raytracer☆15Updated 10 years ago
- Neural network trained as a generative model on the MNIST dataset using Persistent Contrastive Divergence.☆41Updated 5 years ago
- Generative Latent Attentive Sampler☆26Updated 8 years ago
- Scripts to generate a dataset with static frames from the Arcade Learning Environment☆19Updated 11 years ago
- Unsupervised learning and generative models in python/pytorch.☆119Updated 2 years ago
- Turning Python into a probabilistic programming language☆19Updated 11 years ago
- working my way through Sussman and Wisdom's Functional Differential Geometry and implementing it in Python☆44Updated 11 years ago
- Implementation of model described in 'Learning to Protect Communications with Adversarial Neural Cryptography' (Martín Abadi & David G. A…☆46Updated 8 years ago
- Neural network training using iterated projections.☆90Updated 8 years ago
- Warehouse for running small experiments and sharing them with the group☆29Updated 9 years ago
- Easily declare large spaces of (keras) neural networks and run (hyperopt) optimization experiments on them.☆52Updated 8 years ago
- ☆28Updated 6 years ago
- Theano implementation of the Neural GPU☆15Updated 9 years ago
- active learning + reusable workflows + likelihood free inference☆61Updated 8 years ago