pmiller10 / cambridge-aiLinks
☆59Updated last year
Alternatives and similar repositories for cambridge-ai
Users that are interested in cambridge-ai are comparing it to the libraries listed below
Sorting:
- AI-ON Consciousness Prior☆96Updated 7 years ago
- Montréal Deep Learning Summer School 2016 material☆100Updated 9 years ago
- ☆87Updated 8 years ago
- Track trending arXiv papers on Twitter from within your circle☆176Updated 9 years ago
- This was my private research codebase during grad school. After graduation I made it all public☆125Updated 6 years ago
- Tensorflow example of a conv GAN on MNIST.☆98Updated 7 years ago
- Scrapes the abstracts to NIPS 2017 papers.☆40Updated 8 years ago
- Tools for loading standard data sets in machine learning☆205Updated 2 years ago
- ☆113Updated 2 years ago
- Repository for practical assignments for UvA Deep Learning Course 2016☆51Updated 8 years ago
- Gumbel-Softmax Variational Autoencoder with Keras☆134Updated 8 years ago
- Generative Adversarial Networks in Keras☆46Updated 4 years ago
- repository for the Variational Autoencoder (VAE) blogpost series from Fast Forward Labs☆103Updated 8 years ago
- Experiments with differentiable stacks and queues in PyTorch☆144Updated 6 years ago
- My solution to TUM's Machine Learning MNIST challenge 2016-2017 [winner]☆70Updated 6 years ago
- ☆158Updated 6 years ago
- Save keras weight matrices as short animated videos during training☆105Updated 8 years ago
- The versatility of Python enlightened by Torch to seize Deep Learning☆129Updated 7 years ago
- ☆114Updated last year
- Streamlined machine learning experiment management.☆107Updated 5 years ago
- Future Gadget Machine☆68Updated 7 years ago
- Cleaned original source code from my NIPS publication☆158Updated 7 years ago
- Utilities and monitors for machine learning experiments, web client included.☆149Updated 8 years ago
- The first public PyTorch implementation of Attentive Recurrent Comparators☆146Updated 8 years ago
- Personal summaries of deep learning and AI papers☆31Updated 4 years ago
- Code for paper "L4: Practical loss-based stepsize adaptation for deep learning"☆124Updated 6 years ago
- NEXT is a machine learning system that runs in the cloud and makes it easy to develop, evaluate, and apply active learning in the real-wo…☆164Updated last year
- ☆17Updated 8 years ago
- Doubly Stochastic Neighbor Embedding on Spheres☆60Updated 6 years ago
- CS 294: Deep Reinforcement Learning, Spring 2017 Berkeley☆11Updated 8 years ago