Summaries and minimal implementations of ML / statistics research articles.
☆39Feb 23, 2021Updated 5 years ago
Alternatives and similar repositories for paper_summaries
Users that are interested in paper_summaries are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Evaluating variational inference using Pareto-smoothed importance sampling and simulation-based calibration☆12Jun 8, 2018Updated 8 years ago
- ☆14Oct 25, 2019Updated 6 years ago
- Repository for the paper "Adversarial Variational Optimization of Non-Differentiable Simulators"☆16Dec 17, 2018Updated 7 years ago
- Efficient implementation of Generative Stochastic Networks☆12Nov 28, 2013Updated 12 years ago
- Bayesian calibration using Tensorflow Probability☆35Nov 16, 2018Updated 7 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- False discovery rate regression☆10Nov 12, 2020Updated 5 years ago
- ☆17Jul 3, 2017Updated 9 years ago
- Variational Bayesian GP-LVM model in MATLAB.☆12Jun 8, 2015Updated 11 years ago
- Echo Noise Channel for Exact Mutual Information Calculation☆17Jul 17, 2020Updated 6 years ago
- Semi-synthetic experiments to test several approaches for off-policy evaluation and optimization of slate recommenders.☆43Sep 22, 2026Updated 2 weeks ago
- Code for the icml paper "zero inflated exponential family embedding"☆29Nov 2, 2017Updated 8 years ago
- Float NDArray library for Swift, accelerated with Accelerate Framework☆14Apr 17, 2019Updated 7 years ago
- Common post-estimation tasks for scikit-learn☆17Nov 30, 2016Updated 9 years ago
- Variational Factorization Machines☆17Dec 20, 2016Updated 9 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Edward content including papers, posters, and talks☆92Oct 6, 2020Updated 6 years ago
- Dionis predictors blender☆10Oct 21, 2015Updated 10 years ago
- YouTube course using IPython and Jupyter notebooks to do statistical analysis.☆21Dec 7, 2015Updated 10 years ago
- Avoiding catastrophic failures in reinforcement learning by learning to shape rewards.☆10Nov 13, 2017Updated 8 years ago
- Code base for analysis performed in the "Walking The Beat" blog post by Jeff Wong☆19May 28, 2021Updated 5 years ago
- Python solver for mixed-effects models☆97Jun 3, 2025Updated last year
- Network inference by fusing data from diverse distributions☆14Nov 25, 2016Updated 9 years ago
- Deep nonparametric estimation of discrete conditional distributions via smoothed dyadic partitioning☆15Apr 19, 2017Updated 9 years ago
- Movies Recommendation with Hierarchical Poisson Factorization in Edward☆18Jun 20, 2017Updated 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.
- This repository implements models described in ''Interpretale Word Embeddings via Informative Priors''☆11Aug 29, 2019Updated 7 years ago
- Keras + Gaussian Processes: Learning scalable deep and recurrent kernels.☆250Aug 2, 2024Updated 2 years ago
- A batch (multiple concurrent sequence pairs) implementation of Dynamic Time Warping (DTW) in Theano☆10Sep 13, 2015Updated 11 years ago
- A simple example of VAEs with KANs☆12May 17, 2024Updated 2 years ago
- ☆11Feb 6, 2017Updated 9 years ago
- Your fruity companion for transformers☆14May 25, 2022Updated 4 years ago
- Fun-to-watch demonstration monte carlo simulator☆10Oct 3, 2021Updated 5 years ago
- Implement Categorical Variational autoencoder using Pytorch☆15Apr 25, 2018Updated 8 years ago
- A small helper library for building directed acyclic graphs, trainable by gradient descent, in Theano☆20Nov 22, 2016Updated 9 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- This repository, which is work in progress, contains R versions of Andrew Ng's Machine Learning programing exercies.☆10Jan 3, 2017Updated 9 years ago
- Manim animations for Youtube and teaching☆10Mar 11, 2025Updated last year
- Lightweight wrapper of the official ChatGPT API in your terminal☆42Mar 10, 2023Updated 3 years ago
- Variational and semi-supervised neural network toppings for Lasagne☆209Aug 25, 2016Updated 10 years ago
- PyTorch implementation of the Covariate-GPLVM☆26Mar 1, 2020Updated 6 years ago
- Optimizing control variates for black-box gradient estimation☆163Jul 26, 2019Updated 7 years ago
- Python and MATLAB code for Stein Variational sampling methods☆28May 25, 2019Updated 7 years ago