gchrupala / visually-grounded-speech
Representations of language in a model of visually grounded speech signal.
☆23Updated 6 years ago
Alternatives and similar repositories for visually-grounded-speech:
Users that are interested in visually-grounded-speech are comparing it to the libraries listed below
- Using embedding-based loss functions for phonetics/speech recognition.☆17Updated 10 years ago
- Augmentation scripts for the bAbI Dialog Tasks dataset☆13Updated 6 years ago
- An implementation of zoneout regularizer on LSTM-RNN by Tensorflow☆24Updated 7 years ago
- Variational autoencoder in Theano☆12Updated 7 years ago
- RWA in pytorch☆14Updated 7 years ago
- An aspiring attempt to generate a continuous space of sentences with DenseNet☆26Updated 7 years ago
- Training scripts for paper Miceli Barone et al. 2017 "Deep Architectures for Neural Machine Translation"☆11Updated 7 years ago
- Analogs of Linguistic Structure in Deep Representations☆19Updated 7 years ago
- ☆15Updated 8 years ago
- Towards cross-lingual distributed representations without parallel text trained with adversarial autoencoders☆22Updated 8 years ago
- ☆27Updated 7 years ago
- Implementation of QA Networks☆10Updated 8 years ago
- Reimplementation of the clockwork recurrent neural network in Torch7☆14Updated 9 years ago
- a replicate of https://arxiv.org/pdf/1711.00937.pdf☆16Updated 7 years ago
- ☆13Updated 8 years ago
- Implementation of Monte Carlo Word Movers Distance in Python with TensorFlow☆13Updated 8 years ago
- A monster repo for random research, not organized in any particular way☆13Updated 8 years ago
- Tensorflow Implementation of the (Dual)-Associative Memory GRUs☆18Updated 8 years ago
- This is the code used in the paper "Diagonal RNNs in Symbolic Music Modeling"☆17Updated 8 years ago
- Implementing FastSent in theano☆12Updated 8 years ago
- Converts Quora's new NLU dataset to SNLI txt/jsonl format, plus test/dev split, tokenization.☆14Updated 8 years ago
- Tensorflow Implementation of Multi-Function Recurrent Unit☆23Updated 8 years ago
- ☆15Updated 6 years ago
- Repo for code for the NIPS paper entitled "An Architecture for Deep, Hierarchical Generative Models"☆14Updated 8 years ago
- Code for the paper 'Weighting Finite State Transductions with Neural Context', Pushpendre Rastogi, Ryan Cotterell, Jason Eisner☆28Updated 5 years ago
- Plan, Attend, Generate: Planning for Sequence-to-Sequence Models☆10Updated 7 years ago
- ☆25Updated 8 years ago
- Simple Attentive Reader Code☆29Updated 8 years ago
- Lifelong Variational Autoencoder☆14Updated 7 years ago
- Neural Machine Translation (attention and zero-shot)☆6Updated 8 years ago