perimosocordiae / graphsLinks
Graph-based learning in Python
☆17Updated 7 years ago
Alternatives and similar repositories for graphs
Users that are interested in graphs are comparing it to the libraries listed below
Sorting:
- Rectified Factor Networks☆38Updated 5 years ago
- stochs: fast stochastic solvers for machine learning in C++ and Cython☆26Updated 2 years ago
- review of Deep Learning for Nature☆31Updated 9 years ago
- Low-rank Highway Networks☆13Updated 9 years ago
- https://qdata.github.io/deep2Read/ This website includes a (growing) list of papers and lectures we read on deep learning and relate…☆54Updated last year
- Selecting features as (network) nodes☆11Updated 7 years ago
- Research code need not be ugly.☆77Updated last year
- Backprop training of recurrent neural networks with Hebbian plastic connections☆20Updated 4 years ago
- Columbia Advanced Machine Learning Seminar☆24Updated 7 years ago
- Implements an infinite sum of poisson-weighted convolutions☆27Updated 7 years ago
- Exponential Machines implementation☆42Updated 5 months ago
- Various experiments on the [Fashion-MNIST](https://github.com/zalandoresearch/fashion-mnist) dataset from Zalando☆31Updated 7 years ago
- ☆45Updated 5 years ago
- Rank Ordered Autoencoder implementation as described in https://arxiv.org/abs/1605.01749☆34Updated 9 years ago
- Keras cropping layer implementation☆13Updated 9 years ago
- RNNprop☆36Updated 8 years ago
- Fastidious accounting of entropy streams into and out of optimization and sampling algorithms.☆33Updated 9 years ago
- Based on SciPy's normalized git stats, adapted for Deep Learning frameworks☆16Updated 8 years ago
- TensorFlow, PyTorch and Numpy layers for generating Orthogonal Polynomials☆31Updated 7 years ago
- A (possibly/eventually annotated?) collection of resources (books, demos, lectures, etc) that I personally like for various topics in mac…☆32Updated 6 years ago
- Learning to Prune: Exploring the Frontier of Fast and Accurate Parsing☆22Updated 11 months ago
- AutoDiff DAG constructor, built on numpy and Cython. A Neural Turing Machine and DeepQ agent run on it. Clean code for educational purpos…☆77Updated 5 years ago
- Implementation of Trimmed Grassmann Average (TGA) by Hauberg S et al. in Python☆23Updated 9 years ago
- Deep Learning DTU summer school 2015☆23Updated 9 years ago
- Generalized Compressed Network Search with PyTorch☆26Updated 7 years ago
- Variational Bayesian Mixture of Factor Analysers☆24Updated 10 years ago
- Experiments from the article "Tensorial Mixture Models"☆25Updated 7 years ago
- Deep nonparametric estimation of discrete conditional distributions via smoothed dyadic partitioning☆15Updated 8 years ago
- ☆49Updated 7 years ago
- Lasagne / Theano tutorials for Nvidia Deep Learning Summercamp 2016☆26Updated 8 years ago