kamperh / autoencoders_mnistLinks
Different types of autoencoders illustrated on MNIST using TensorFlow.
☆36Updated 7 years ago
Alternatives and similar repositories for autoencoders_mnist
Users that are interested in autoencoders_mnist are comparing it to the libraries listed below
Sorting:
- my solutions for oxford's "deep nlp 2017" practical assignments☆65Updated 8 years ago
- Library to train parallel-aligned sequence data based on Keras☆51Updated 8 years ago
- Tutorial teaching the basics of Keras and some deep learning concepts☆104Updated 8 years ago
- Twitterbot that uses machine learning to curate interesting arXiv papers☆43Updated 7 years ago
- ☆46Updated 2 years ago
- Can neural networks order a scramble of words correctly?☆75Updated 7 years ago
- Deep Learning over PyTorch☆61Updated 7 years ago
- Production Ready Docker Container for TensorFlow Serving☆17Updated 7 years ago
- Materials for O'Reilly DL 4 NLP tutorial (NYC, June 2017)☆37Updated 7 years ago
- A spell checker built from GloVe word vectors☆81Updated 7 years ago
- ☆45Updated 7 years ago
- ☆45Updated 8 years ago
- Keras based Tutorials and implementations for "Self-normalizing networks" - new activation function SELU☆48Updated 3 years ago
- Recurrent versus Recursive Approaches Towards Compositionality in Semantic Vector Spaces.☆13Updated 3 years ago
- Keras solution to the bAbI tasks using recurrent neural networks - merged as an example into Keras mainline☆33Updated 9 years ago
- Reinforcement learning course at Data Science Retreat☆42Updated 5 years ago
- ☆35Updated 6 years ago
- ☆112Updated 10 months ago
- Playing with various deep learning tools and network architectures☆70Updated 7 years ago
- Code Samples from Neural Networks for NLP☆72Updated 7 years ago
- Implementation of the model presented in our ECIR 2017 paper☆37Updated 8 years ago
- PyTorch port of Rachel's and Jeremy's 1st part Machine Learning course☆57Updated 7 years ago
- A library & tools to evaluate predictive language models.☆63Updated last year
- Quick function to go from a dictionary of sets of (images, labels, feature vectors) to checkpoints that can be opened in Tensorboard☆33Updated 7 years ago
- Some experiments into explaining complex black box ensemble predictions.☆75Updated 5 years ago
- Quick PyTorch introduction and tutorial. Targets computer vision, graphics and machine learning researchers eager to try a new framework.☆109Updated 5 years ago
- Deep sentence embedding using Sequence to Sequence learning☆21Updated 8 years ago
- ☆92Updated 8 years ago
- ☆52Updated 6 years ago
- Montréal Deep Learning Summer School 2016 material☆100Updated 8 years ago