Learning to execute Python in Tensorflow and other Seq2seq examples
☆42May 12, 2016Updated 10 years ago
Alternatives and similar repositories for seq2seq_experiments
Users that are interested in seq2seq_experiments are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- reinforcement learning. policy gradient. PCL☆37Apr 25, 2017Updated 9 years ago
- in progress☆186Nov 29, 2017Updated 8 years ago
- Recurrent Memory Network - Torch implementation☆35Oct 25, 2016Updated 9 years ago
- Dynamic Capacity Networks using Tensorflow☆52Feb 15, 2017Updated 9 years ago
- ☆16Sep 20, 2016Updated 9 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- LSTM with associative memory cells (http://arxiv.org/abs/1602.03032)☆111May 1, 2016Updated 10 years ago
- Sublinear memory optimization for deep learning, reduce GPU memory cost to train deeper nets☆28Apr 22, 2016Updated 10 years ago
- ☆11Apr 11, 2019Updated 7 years ago
- simple experiments to reproduce the CReLU paper☆12Jun 17, 2016Updated 10 years ago
- Talk on "Bayesian optimisation", beginner level☆25Apr 11, 2016Updated 10 years ago
- This is the code used in the paper "Diagonal RNNs in Symbolic Music Modeling"☆17Apr 18, 2017Updated 9 years ago
- Tensor Switching Networks☆12Nov 2, 2017Updated 8 years ago
- Pointer Networks in Tensorflow☆99Nov 23, 2017Updated 8 years ago
- Continual Learning Toolkit for Reinforcement Learning☆21Jan 28, 2018Updated 8 years ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- Learning to Execute☆481Apr 9, 2016Updated 10 years ago
- MXNet implementation of AC-BLSTM☆23Apr 3, 2019Updated 7 years ago
- Python code for training Paragram word embeddings. These achieve human-level performance on some word similiarty tasks including SimLex-9…☆30Feb 4, 2016Updated 10 years ago
- ☆15Sep 5, 2016Updated 9 years ago
- Re-implementation of the m-RNN model using TensorFLow☆106Oct 27, 2016Updated 9 years ago
- Implementing (parts of) TensorFlow (almost) from Scratch☆30Jul 7, 2017Updated 8 years ago
- CTC for lasagne☆25Jun 29, 2015Updated 11 years ago
- Implementation of the paper [Using Fast Weights to Attend to the Recent Past](https://arxiv.org/abs/1610.06258)☆173Nov 3, 2016Updated 9 years ago
- Experiments using feedforward networks with attention☆47Apr 20, 2016Updated 10 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- TensorFlow implementation of the paper "Learning to learn by gradient descent by gradient descent ( https://arxiv.org/abs/1606.04474 )"☆81May 29, 2017Updated 9 years ago
- ner using crf++☆10Mar 24, 2015Updated 11 years ago
- Code for Attentive Recurrent Comparators☆56Mar 3, 2017Updated 9 years ago
- Mixed Incremental Cross-Entropy REINFORCE ICLR 2016☆333Mar 1, 2017Updated 9 years ago
- Examples of using GridLSTM (and GridRNN in general) in tensorflow☆62Aug 24, 2017Updated 8 years ago
- Quick and Dirty TensorFlow command framework to train and evaluate models and make inference☆54Apr 19, 2019Updated 7 years ago
- ☆17Oct 8, 2015Updated 10 years ago
- ☆53Jan 23, 2017Updated 9 years ago
- ☆44Sep 6, 2017Updated 8 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Code example for tf.nn.dynamic_rnn using Tensorflow library☆26Jun 8, 2017Updated 9 years ago
- This is an implementation of the Attention Sum Reader model as presented in "Text Comprehension with the Attention Sum Reader Network" av…☆98Sep 9, 2016Updated 9 years ago
- Variational Recurrent Auto Encoder☆15Jul 10, 2016Updated 9 years ago
- miniplaces2 deep residual network in neon☆16Feb 5, 2016Updated 10 years ago
- Generative adversarial networks (GAN) applied to sequential data via recurrent neural networks (RNN).☆396Jun 19, 2017Updated 9 years ago
- ☆13Apr 25, 2017Updated 9 years ago
- Reimplementation of Munkhdalai et al's Neural Semantic Encoders (https://arxiv.org/pdf/1607.04315v2.pdf)☆59Oct 28, 2016Updated 9 years ago