Implementation of the paper "Meta-Learning by Adjusting Priors Based on Extended PAC-Bayes Theory", Ron Amit and Ron Meir, ICML 2018
☆18Apr 13, 2021Updated 5 years ago
Alternatives and similar repositories for meta-learning-adjusting-priors2
Users that are interested in meta-learning-adjusting-priors2 are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Implementation of the paper "Meta-Learning by Adjusting Priors Based on Extended PAC-Bayes Theory", Ron Amit and Ron Meir, ICML 2018☆22Oct 30, 2019Updated 6 years ago
- Optimizing PAC-Bayes bounds for Stochastic Neural Networks with Gaussian weights☆31Nov 18, 2020Updated 5 years ago
- [Ongoing Project] Codebase for network quantization study.☆12May 20, 2020Updated 6 years ago
- This is a Pytorch implementation of contrastive Learning(CL) baselines.☆14Aug 29, 2022Updated 3 years ago
- Naive Bayes classifier for detection of langage and spelling correction☆10Mar 2, 2020Updated 6 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Framework to achieve context distillation in LLMs☆15Nov 24, 2023Updated 2 years ago
- Flask app to run a bandit algorithm testing different beer recommenders☆25Apr 7, 2014Updated 12 years ago
- ☆11Oct 1, 2018Updated 7 years ago
- Donald Trump's tweets generator☆31Feb 20, 2017Updated 9 years ago
- ☆10Apr 28, 2017Updated 9 years ago
- CIFAR10 ResNets implemented in JAX+Flax☆12Apr 6, 2022Updated 4 years ago
- Lectures on NLP☆13Aug 18, 2023Updated 2 years ago
- The Matlab Code for the ICML 2015 paper "Scalable Deep Poisson Factor Analysis for Topic Modeling"☆19Sep 20, 2015Updated 10 years ago
- Zone récréative pour les étudiants du MOOC Python3☆10Jan 10, 2023Updated 3 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.
- Improving the Fairness of Chest X-ray Classifiers☆14Mar 24, 2022Updated 4 years ago
- A Unified, Systematic Framework of Structured Weight Pruning for DNNs☆22Aug 3, 2018Updated 7 years ago
- ☆16Apr 26, 2023Updated 3 years ago
- ☆11Jan 7, 2019Updated 7 years ago
- Clustering and Predictions with Multi-Task Gaussian Processes☆22Apr 27, 2026Updated last month
- The Python to LaTeX converter☆29Apr 1, 2022Updated 4 years ago
- ☆11Nov 14, 2022Updated 3 years ago
- [NeurIPS'22] Official Repository for Characterizing Datapoints via Second-Split Forgetting☆16Aug 11, 2023Updated 2 years ago
- The Spacetime of Diffusion Models: An Information Geometry Perspective (ICLR 2026 Oral)☆42Feb 21, 2026Updated 3 months 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.
- Jupyter Notebooks for Adv. Predictive Modeling Course☆15Mar 2, 2017Updated 9 years ago
- Official code for Generative Marginalization Models [ICML 2024] [SPGIM 2023 Workshop Oral]☆24Aug 19, 2024Updated last year
- Contains public materials for students enrolled in MITx: 6.871x, Machine Learning for Healthcare☆20Jun 12, 2021Updated 4 years ago
- DoubleAI’s hyperoptimised version of cuGraph☆59Mar 3, 2026Updated 3 months ago
- This repo is about NAS☆26Nov 1, 2019Updated 6 years ago
- Implementations for "Deep Mixed Effect Model using Gaussian Processes: A Personalized and Reliable Prediction for Healthcare" published o…☆13Nov 21, 2019Updated 6 years ago
- Regularizing Meta-Learning via Gradient Dropout☆53Apr 14, 2020Updated 6 years ago
- Repository for the paper "Riemannian Laplace approximations for Bayesian neural networks"☆13Dec 24, 2023Updated 2 years ago
- An example showing how to use jax to train resnet50 on multi-node multi-GPU☆20Jul 4, 2022Updated 3 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- ☆11Aug 17, 2018Updated 7 years ago
- "Maximum-Entropy Adversarial Data Augmentation for Improved Generalization and Robustness" (NeurIPS 2020).☆52Nov 27, 2020Updated 5 years ago
- Dataset Bias correction (Python)☆20Jan 7, 2018Updated 8 years ago
- Mining GOLD Samples for Conditional GANs (NeurIPS 2019)☆18Oct 22, 2019Updated 6 years ago
- cyREST examples for Python users.☆11Feb 20, 2018Updated 8 years ago
- Discrete Bayesian optimization with LLMs, PEFT finetuning methods, and the Laplace approximation.☆23Jul 30, 2024Updated last year
- Embroid: Unsupervised Prediction Smoothing Can Improve Few-Shot Classification☆11Aug 12, 2023Updated 2 years ago