Sephora-M / chord2vec
From word2vec to chord2vec tensorFlow implementation
☆26Updated 8 years ago
Related projects ⓘ
Alternatives and complementary repositories for chord2vec
- Simple Attentive Reader Code☆30Updated 8 years ago
- Audio captioning RNN model in Keras☆15Updated 8 years ago
- This is the code used in the paper "Diagonal RNNs in Symbolic Music Modeling"☆17Updated 7 years ago
- Based on SciPy's normalized git stats, adapted for Deep Learning frameworks☆16Updated 7 years ago
- [DEPRECATED] Scoring models for the task of Automatic Knowledge Base Completion implemented with TensorFlow.☆10Updated 8 years ago
- Learning to Prune: Exploring the Frontier of Fast and Accurate Parsing☆22Updated last month
- A monster repo for random research, not organized in any particular way☆13Updated 7 years ago
- Towards cross-lingual distributed representations without parallel text trained with adversarial autoencoders☆22Updated 8 years ago
- Professor Forcing, NIPS'16☆45Updated 7 years ago
- ☆50Updated 6 years ago
- ☆20Updated 6 years ago
- ☆20Updated 7 years ago
- Datasets and Transforms specific to ASR☆18Updated 7 years ago
- This is my Master's thesis project about generative recurrent neural network written in Torch7.☆10Updated 8 years ago
- Composition experiments using MusicVAE☆13Updated 6 years ago
- Using embedding-based loss functions for phonetics/speech recognition.☆17Updated 9 years ago
- Boilerplate code for quickly getting set up to run language modeling experiments☆35Updated 7 years ago
- Improving text generation with adversarial objectives☆0Updated 7 years ago
- Deep Manifold Learning on Music Audio☆36Updated 8 years ago
- The bAbI question-answering dataset ported into T2T.☆32Updated 5 years ago
- a keras toolkit☆35Updated 8 years ago
- Implementation of the VRAE☆59Updated 3 years ago
- ☆13Updated 7 years ago
- ☆18Updated 6 years ago
- Analogs of Linguistic Structure in Deep Representations☆19Updated 7 years ago
- An example of DyNet autobatching for the NIPS "how to code a paper" workshop☆13Updated 6 years ago
- Code for the publication Learning to Reason with Third-Order Tensor Products.☆39Updated 5 years ago
- Spearmint uses Gaussian Processes to automatically optimize hyper parameter. This is a fork of Spearmint for the deep learning community.…☆11Updated 7 years ago