keplr-io / picard
Easily declare large spaces of (keras) neural networks and run (hyperopt) optimization experiments on them.
☆52Updated 7 years ago
Related projects ⓘ
Alternatives and complementary repositories for picard
- Install TensorFlow on AWS GPU-instance☆28Updated 8 years ago
- Deep learning for hackers: a hands-on approach to machine learning and deep learning.☆68Updated 9 years ago
- Information Theoretic Learning Auto-encoders☆57Updated 8 years ago
- A library built on top of Theano. TUTORIAL:☆39Updated 6 years ago
- Contextual RNN-GANs for Abstract Reasoning Diagram Generation☆31Updated 6 years ago
- Quick and Dirty TensorFlow command framework to train and evaluate models and make inference☆56Updated 5 years ago
- A Thrift codec for Torch☆29Updated 3 years ago
- Example scripts for various deep learning APIs.☆28Updated 9 years ago
- ☆35Updated 9 years ago
- Automating image builds for deep learning based applications since 2016☆51Updated 7 years ago
- Implementation of the model presented in our ECIR 2017 paper☆37Updated 7 years ago
- Simple FFI bindings for TensorFlow's C API.☆46Updated 8 years ago
- customize this building block to make all the residual connections you can dream of☆79Updated 8 years ago
- IPython notebook for training multilayer LSTM and RNN networks with pycaffe☆53Updated 9 years ago
- For running deep neural net experiment on AWS EC2 GPU instance with Docker and Docker machine☆57Updated 8 years ago
- A variant of HTM where spatial and temporal pooling are accomplished with the same mechanism☆13Updated 9 years ago
- Scripts to install TensorFlow on an AWS EC2 GPU Instance☆45Updated 8 years ago
- Future Gadget Machine☆69Updated 6 years ago
- Generative Sparse Distributed Representations, a fast generative model written in Python (Original C++ implementation https://github.com/…☆24Updated 8 years ago
- This repo contain the exercies of the Next.ML 2015 presentation☆24Updated 9 years ago
- Flexible Bayesian inference using TensorFlow☆143Updated 7 years ago
- A small helper library for building directed acyclic graphs, trainable by gradient descent, in Theano☆20Updated 7 years ago
- ☆25Updated 2 years ago
- Stochastic Neighbor and Crowd Kernel (SNaCK) embeddings: Quick and dirty visualization of large-scale datasets via concept embeddings☆51Updated last year