dali-ml / dali-cythonLinks
Dali in Python
☆8Updated 8 years ago
Alternatives and similar repositories for dali-cython
Users that are interested in dali-cython are comparing it to the libraries listed below
Sorting:
- Easily declare large spaces of (keras) neural networks and run (hyperopt) optimization experiments on them.☆52Updated 8 years ago
- Generative Sparse Distributed Representations, a fast generative model written in Python (Original C++ implementation https://github.com/…☆24Updated 9 years ago
- A small helper library for building directed acyclic graphs, trainable by gradient descent, in Theano☆20Updated 8 years ago
- Information Theoretic Learning Auto-encoders☆58Updated 9 years ago
- ☆25Updated 3 years ago
- code referenced in "Towards universal neural nets: Gibbs machines and ACE", Galin Georgiev, http://arxiv.org/abs/1508.06585☆14Updated 9 years ago
- Install TensorFlow on AWS GPU-instance☆28Updated 9 years ago
- Empirical CLI☆42Updated 4 years ago
- stochs: fast stochastic solvers for machine learning in C++ and Cython☆26Updated 2 years ago
- Python bindings to HTFE☆33Updated 10 years ago
- Nearest Neighbor Search in High Dimensional Spaces☆13Updated 9 years ago
- BOPP: Bayesian Optimization for Probabilistic Programs☆114Updated 7 years ago
- Neocortex-like reinforcement learning that runs on the GPU or CPU (OpenCL)☆69Updated 9 years ago
- A library built on top of Theano. TUTORIAL:☆39Updated 7 years ago
- customize this building block to make all the residual connections you can dream of☆80Updated 9 years ago
- Various neural networks on MNIST data using TensorFlow library☆16Updated 9 years ago
- Stochastic Neighbor and Crowd Kernel (SNaCK) embeddings: Quick and dirty visualization of large-scale datasets via concept embeddings☆50Updated last year
- Scalable inference for Correlated Topic Models☆31Updated 10 years ago
- A distributed, shared tensor with high performance approximate updates for machine learning☆35Updated 9 years ago
- Implementation of an algorithm computing the nearest "N" neighbours to a vector, using a collection of hyperplane hashers.☆30Updated 10 years ago
- A partial TensorFlow implementation of "Learning Efficient Algorithms with Hierarchical Attentive Memory"☆51Updated 9 years ago
- TFStage: TensorFlow Project Scaffolding☆62Updated 5 years ago
- more composable than other neural network libraries☆42Updated 9 years ago
- A high-level framework for advanced deep learning with TensorFlow☆54Updated 7 years ago
- scikit-learn addon to operate on set/"group"-based features☆41Updated 9 years ago
- Modules/scripts/utilities for modeling with various neural network frameworks.☆25Updated 9 years ago
- Scikit learn inspired library for gpu-accelerated machine learning☆38Updated 2 years ago
- Rectified Factor Networks☆38Updated 5 years ago
- Library of common tools for machine learning research.☆41Updated 7 years ago
- Collection of useful, re-used routines.☆45Updated 8 years ago