timvieira / learning-to-pruneLinks
Learning to Prune: Exploring the Frontier of Fast and Accurate Parsing
☆22Updated 8 months ago
Alternatives and similar repositories for learning-to-prune
Users that are interested in learning-to-prune are comparing it to the libraries listed below
Sorting:
- Analogs of Linguistic Structure in Deep Representations☆19Updated 7 years ago
- Code to reproduce experiments appearing in the academic paper Lost Relatives of the Gumbel Trick☆17Updated 7 years ago
- Reference implementation of algorithms for reinforcement learning and Markov decision processes.☆12Updated 4 years ago
- TargetProp for RNNs☆27Updated 6 years ago
- Code for morphological transformations☆29Updated 8 years ago
- Tensorflow Implementation of Multi-Function Recurrent Unit☆23Updated 8 years ago
- Open source implementation of SeaRNN (ICLR 2018, https://openreview.net/forum?id=HkUR_y-RZ)☆48Updated 6 years ago
- Implementation of QA Networks☆10Updated 8 years ago
- ☆11Updated 8 years ago
- ☆49Updated 7 years ago
- Generalized Compressed Network Search with PyTorch☆26Updated 7 years ago
- DyNet implementation of stack LSTM experiments by Grefenstette et al.☆21Updated 7 years ago
- Theano implementation of the Neural GPU☆15Updated 9 years ago
- Benchmarks for DyNet☆57Updated 7 years ago
- Converts Quora's new NLU dataset to SNLI txt/jsonl format, plus test/dev split, tokenization.☆14Updated 8 years ago
- ☆58Updated 9 years ago
- Tensorflow Implementation of the (Dual)-Associative Memory GRUs☆18Updated 8 years ago
- ☆17Updated 7 years ago
- Recurrent Convolutional Memory Network (in progress)☆28Updated 9 years ago
- Towards cross-lingual distributed representations without parallel text trained with adversarial autoencoders☆22Updated 8 years ago
- ☆23Updated 9 years ago
- torch TH/THC c++11 wrapper☆14Updated 7 years ago
- demonstration for our ACL 2018 paper, "On the Practical Computational Power of Finite Precision RNNs for Language Recognition"☆11Updated 6 years ago
- A very simple variant of adversarial training that yields excellent results on MNIST☆12Updated 9 years ago
- ☆15Updated 8 years ago
- Learning to Discover Efficient Mathematical Identities☆48Updated 10 years ago
- Implementing FastSent in theano☆12Updated 9 years ago
- Slides/code for the Lisbon machine learning school 2017☆28Updated 7 years ago
- ☆20Updated 7 years ago
- Variational Walkback, NIPS'17☆28Updated 7 years ago