frsong / tf-examples
TensorFlow examples
☆23Updated 7 years ago
Alternatives and similar repositories for tf-examples:
Users that are interested in tf-examples are comparing it to the libraries listed below
- Keras for Science☆72Updated 6 years ago
- Generalized linear models for neural spike train modeling, in Python! With GPU-accelerated fully-Bayesian inference, MAP inference, and n…☆44Updated 10 years ago
- Fast CPU implementations of several conditional probabilistic models☆36Updated last year
- Variational Autoencoder with Recurrent Neural Network based on Google DeepMind's "DRAW: A Recurrent Neural Network For Image Generation"☆39Updated 8 years ago
- Code for the paper "Learning sparse transformations through backpropagation"☆43Updated 5 years ago
- Interpretable neural spike train models with fully-Bayesian inference algorithms☆47Updated 6 years ago
- Hierarchical Mixture of Experts,Mixture Density Neural Network☆45Updated 7 years ago
- Forward Thinking NIPS 2017☆106Updated 7 years ago
- A quickstart guide to tensor decomposition☆69Updated 2 years ago
- personal notes☆55Updated 7 years ago
- A small collection of code snippets and notes explaining the foundations of the REINFORCE algorithm.☆35Updated 5 years ago
- ☆8Updated 8 years ago
- Bayesian Effective Connectivity☆54Updated 6 years ago
- Differentiable Neural Computer in TensorFlow☆26Updated 7 years ago
- TensorFlow implementation of Bayes-by-Backprop algorithm from "Weight Uncertainty in Neural Networks" paper☆51Updated 6 years ago
- Implementation of Undecimated Fully Convolutional Neural Network for time series modeling☆39Updated 8 years ago
- This contains my M.Tech project work on using Deep Leanring for learning graph representations. Data will be provided on request☆33Updated 7 years ago
- Spinal cord gray matter segmentation using deep dilated convolutions.☆45Updated 7 years ago
- A collection of tutorials from Deep Learning conferences.☆31Updated 8 years ago
- Tensorflow implementation of "Transforming Autoencoders" (Proposed by G.E.Hinton, et al.)☆61Updated 7 years ago
- TensorFlow implementation of the paper "Learning to learn by gradient descent by gradient descent ( https://arxiv.org/abs/1606.04474 )"☆85Updated 7 years ago
- Deep variational inference library for Keras☆15Updated 8 years ago
- Echo state network implementation on tensorflow☆69Updated 6 years ago
- Train excitatory-inhibitory recurrent neural networks for cognitive tasks.☆49Updated 8 years ago
- Collection of reinforcement learners implemented in python. Mainly including DQN and its variants☆54Updated 7 years ago
- Columbia Advanced Machine Learning Seminar☆24Updated 6 years ago
- An ongoing collection of ipython notebooks on neuroscience from xcorr: computational neuroscience.☆78Updated 2 years ago
- An attempt at replicating "Neural Turing Machines" in Keras.☆34Updated 7 years ago
- RNN with differentiable structure (number of neurons)☆22Updated 8 years ago
- ☆62Updated 7 years ago