sods / neurips2014Links
Tools for managing the Conference Management Toolkit from Microsoft.
☆25Updated 4 years ago
Alternatives and similar repositories for neurips2014
Users that are interested in neurips2014 are comparing it to the libraries listed below
Sorting:
- Edward content including papers, posters, and talks☆92Updated 5 years ago
- What My Deep Model Doesn't Know...☆116Updated 10 years ago
- Introduction to Nonparametric Bayes, Infinite Mixture Models, and the Dirichlet Process (+ McDonald's)☆306Updated 10 years ago
- ☆135Updated 6 years ago
- Advances in Approximate Bayesian Inference Symposium☆50Updated last week
- Inference and Representation (DS-GA-1005, CSCI-GA.2569), fall 18☆70Updated 7 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…☆163Updated last year
- Dirichlet MLE python library☆117Updated 4 months ago
- This is code associated with the paper: Broderick, T, Boyd, N, Wibisono, A, Wilson, AC, and Jordan, MI. Streaming variational Bayes. Neur…☆41Updated 11 years ago
- Implementation in C and Theano of the method Probabilistic Backpropagation for scalable Bayesian inference in deep neural networks.☆191Updated 6 years ago
- Deep exponential families (DEFs)☆55Updated 7 years ago
- Columbia Advanced Machine Learning Seminar☆24Updated 7 years ago
- A bare-bones TensorFlow framework for Bayesian deep learning and Gaussian process approximation☆128Updated 4 years ago
- NeurIPS 2016. Linear-time interpretable nonparametric two-sample test.☆64Updated 7 years ago
- Summaries and minimal implementations of ML / statistics research articles.☆39Updated 4 years ago
- Probabilistic Programming and Statistical Inference in PyTorch☆111Updated 8 years ago
- Tools for loading standard data sets in machine learning☆205Updated 3 years ago
- Future Gadget Machine☆68Updated 7 years ago
- The pdf and LaTeX for each paper (and sometimes the code and data used to generate the figures).☆72Updated 8 years ago
- Gumbel-Softmax Variational Autoencoder with Keras☆134Updated 8 years ago
- Dropout As A Bayesian Approximation: Code☆204Updated 10 years ago
- TensorFlow implementation of COCOB☆95Updated 2 years ago
- Track trending arXiv papers on Twitter from within your circle☆176Updated 9 years ago
- Reading Group on Reinforcement Learning topics☆56Updated 9 years ago
- Matplotlib examples to present results.☆70Updated 8 years ago
- An extension to Sacred for automated hyperparameter optimization.☆59Updated 7 years ago
- Code for "Towards a learning theory of cause-effect inference" (ICML 2015).☆31Updated 5 years ago
- Bayesian or-of-and☆36Updated 3 years ago
- ☆53Updated 7 years ago
- Some iPython Notebooks I have created for personal learning☆65Updated last year