Bayesian Program Learning model for one-shot learning
☆981Dec 28, 2015Updated 10 years ago
Alternatives and similar repositories for BPL
Users that are interested in BPL are comparing it to the libraries listed below
Sorting:
- Omniglot data set for one-shot learning☆1,408Feb 1, 2023Updated 3 years ago
- Javascript code for "visual Turing tests"☆52Dec 28, 2015Updated 10 years ago
- One-shot Learning with Memory-Augmented Neural Networks☆422Dec 4, 2018Updated 7 years ago
- A probabilistic programming language in TensorFlow. Deep generative models, variational inference.☆4,843Mar 18, 2024Updated last year
- Attempt at implementing system described in "Neural Turing Machines." by Graves, Alex, Greg Wayne, and Ivo Danihelka. (http://arxiv.org/a…☆461Aug 28, 2016Updated 9 years ago
- Memory Networks implementations☆1,753Jul 28, 2020Updated 5 years ago
- Deep Convolutional Generative Adversarial Networks☆3,514May 8, 2019Updated 6 years ago
- Fast, flexible and fun neural networks.☆1,303Sep 13, 2022Updated 3 years ago
- Intel® Nervana™ reference deep learning framework committed to best performance on all hardware☆3,869Dec 23, 2020Updated 5 years ago
- NPI(Neural Programmer-Interpreters) implementation with Keras☆242Jun 21, 2022Updated 3 years ago
- This is the code used for the paper "Inferring algorithmic patterns with a stack augmented recurrent network", by Armand Joulin and Tomas…☆420Jul 24, 2019Updated 6 years ago
- A TensorFlow implementation of DeepMind's Differential Neural Computers (DNC)☆580Jan 8, 2020Updated 6 years ago
- Python implementation of Bayesian Program Learning tools (with PyTorch)☆74Jun 27, 2022Updated 3 years ago
- A Neural Turing Machine implementation in Torch.☆278Nov 3, 2015Updated 10 years ago
- Interactive, node-by-node debugging and visualization for TensorFlow☆1,350Jan 27, 2017Updated 9 years ago
- Sent2Vec encoder and training code from the paper "Skip-Thought Vectors"☆2,051Jun 9, 2020Updated 5 years ago
- Reference implementations of neural networks with differentiable memory mechanisms (NTM, Stack RNN, etc.)☆222Apr 6, 2016Updated 9 years ago
- Fast parallel CTC.☆4,075Mar 4, 2024Updated 2 years ago
- A Theano framework for building and training neural networks☆1,154Feb 19, 2019Updated 7 years ago
- Lightweight library to build and train neural networks in Theano☆3,865Mar 26, 2022Updated 3 years ago
- Simplified interface for TensorFlow (mimicking Scikit Learn) for Deep Learning☆3,169Aug 30, 2021Updated 4 years ago
- Learning to Learn in TensorFlow☆4,071Jun 29, 2021Updated 4 years ago
- A TensorFlow implementation of the Differentiable Neural Computer.☆2,525Jul 23, 2021Updated 4 years ago
- Recurrent Neural Network - A curated list of resources dedicated to RNN☆6,208Feb 3, 2022Updated 4 years ago
- Easy benchmarking of all publicly accessible implementations of convnets☆2,688Jun 9, 2017Updated 8 years ago
- Recurrent Neural Network library for Torch7's nn☆943Dec 21, 2017Updated 8 years ago
- ☆183Dec 9, 2015Updated 10 years ago
- Theano-based implementation of Deep Q-learning☆1,093Apr 14, 2017Updated 8 years ago
- Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch☆11,984Oct 24, 2023Updated 2 years ago
- Computation Graph Toolkit☆634Apr 10, 2018Updated 7 years ago
- Structure learning for sparse graphs with latent variables☆45Nov 30, 2016Updated 9 years ago
- Question answering dataset featured in "Teaching Machines to Read and Comprehend☆1,297Apr 26, 2017Updated 8 years ago
- Neural module networks☆401Jul 7, 2017Updated 8 years ago
- Deep Networks with Stochastic Depth☆481Aug 13, 2018Updated 7 years ago
- DyNet: The Dynamic Neural Network Toolkit☆3,436Dec 1, 2023Updated 2 years ago
- "Neural Turing Machine" in Tensorflow☆1,049May 18, 2017Updated 8 years ago
- Character-level Convolutional Networks for Text Classification☆850Jul 23, 2019Updated 6 years ago
- Reimplementation of DRAW☆346Aug 25, 2016Updated 9 years ago
- Deep learning with dynamic computation graphs in TensorFlow☆1,823Jun 26, 2021Updated 4 years ago