Edward content including papers, posters, and talks
☆92Oct 6, 2020Updated 5 years ago
Alternatives and similar repositories for papers
Users that are interested in papers are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ProbML: Symposium on Probabilistic Machine Learning☆50Mar 17, 2026Updated last week
- Tools for loading standard data sets in machine learning☆206Nov 3, 2022Updated 3 years ago
- Summaries and minimal implementations of ML / statistics research articles.☆39Feb 23, 2021Updated 5 years ago
- A probabilistic programming language in TensorFlow. Deep generative models, variational inference.☆4,844Mar 18, 2024Updated 2 years ago
- Generative Matching Networks☆29May 3, 2017Updated 8 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- ☆19Feb 6, 2019Updated 7 years ago
- Python + TensorFlow implementation of the DropoutNet model☆13Feb 4, 2018Updated 8 years ago
- A collection of IPython Notebooks containing my research.☆20Aug 21, 2018Updated 7 years ago
- (WSDM2022 Best Paper Award Runner-Up) "Doubly Robust Off-Policy Evaluation for Ranking Policies under the Cascade Behavior Model"☆13Jul 16, 2023Updated 2 years ago
- A PyTorch implementation of visual interaction networks☆12Jul 1, 2019Updated 6 years ago
- Strata NYC 2015☆15Sep 30, 2015Updated 10 years ago
- Implementation of various algorithms in the Nested Sequential Monte Carlo family of methods.☆14Sep 9, 2015Updated 10 years ago
- Flexible Reinforcement Learning Framework with PyTorch☆22Jul 17, 2020Updated 5 years ago
- code release for the NIPS 2016 paper☆27Oct 21, 2016Updated 9 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- Semi-synthetic experiments to test several approaches for off-policy evaluation and optimization of slate recommenders.☆43Nov 2, 2017Updated 8 years ago
- Presentations from meetups and conferences☆18Sep 4, 2020Updated 5 years ago
- Keras + Gaussian Processes: Learning scalable deep and recurrent kernels.☆251Aug 2, 2024Updated last year
- Code for the paper "On the Minimal Supervision for Training Any Binary Classifier from Only Unlabeled Data".☆28May 7, 2019Updated 6 years ago
- Probabilistic Torch is library for deep generative models that extends PyTorch☆894May 12, 2024Updated last year
- Implementation of the models and datasets used in "An Information-theoretic Approach to Distribution Shifts"☆25Nov 2, 2021Updated 4 years ago
- ☆18Jun 11, 2020Updated 5 years ago
- ☆11Dec 9, 2017Updated 8 years ago
- Hierarchical Dirichlet processes. Topic models where the data determine the number of topics. This implements Gibbs sampling.☆149Feb 21, 2017Updated 9 years ago
- DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- A curated list of awesome hyperparameters for deep learning☆78Oct 6, 2017Updated 8 years ago
- ☆24Apr 16, 2016Updated 9 years ago
- Gaussian processes in TensorFlow☆1,905May 29, 2025Updated 9 months ago
- ☆11Mar 25, 2021Updated 5 years ago
- Dirichlet process mixture model.☆27May 8, 2014Updated 11 years ago
- A repository for learning the fundamentals of machine learning through concepts, implementation, and real-world examples.☆14Mar 17, 2026Updated last week
- A collection of video resources for machine learning☆1,554Jan 23, 2021Updated 5 years ago
- approximate streaming quantiles☆31Jun 15, 2014Updated 11 years ago
- A trading strategy for prediction markets mediated by the logarithmic market scoring rule (LMSR) market maker☆12Apr 7, 2018Updated 7 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- Files for Modern Statistical Workflow workshop☆10Jul 16, 2016Updated 9 years ago
- Pyro models and misc examples.☆19May 10, 2021Updated 4 years ago
- A Convolutional Deep Neural Network Using Theano for MNIST (0.6% Error)☆10Jun 29, 2016Updated 9 years ago
- C++ code to help assign papers to reviewers, area chairs, etc in conferences like NIPS.☆14Jun 18, 2018Updated 7 years ago
- Material for the MASH course on introduction to scikit-learn☆16Apr 15, 2017Updated 8 years ago
- Automatic Discovery of the Statistical Types of Variables in a Dataset☆23May 3, 2018Updated 7 years ago
- Some notebooks that I've shared.☆12Jun 17, 2018Updated 7 years ago