A Pytorch implementation of the KWNG estimator
☆14Jul 25, 2024Updated last year
Alternatives and similar repositories for KWNG
Users that are interested in KWNG are comparing it to the libraries listed below
Sorting:
- implementation of Wasserstein Natural Policy Gradients and Wasserstein Natural Evolution Strategies☆13Mar 9, 2021Updated 5 years ago
- Open source demo for the paper Learning to Score Behaviors for Guided Policy Optimization☆24Jun 24, 2020Updated 5 years ago
- Sinkhorn Barycenters via Frank-Wolfe algorithm☆27Feb 3, 2020Updated 6 years ago
- ☆19Feb 18, 2024Updated 2 years ago
- Official Implementation of NEDS☆15Sep 17, 2025Updated 5 months ago
- Official pytorch implementation of the IrwGAN for unaligned image-to-image translation☆34Dec 15, 2021Updated 4 years ago
- Official PyTorch implementation for Maximum Likelihood Training of Implicit Nonlinear Diffusion Model (INDM) in NeurIPS 2022.☆40Apr 29, 2024Updated last year
- Code for the paper "Semi-Conditional Normalizing Flows for Semi-Supervised Learning"☆11Mar 30, 2020Updated 5 years ago
- ☆11Jun 18, 2023Updated 2 years ago
- Introduction to Machine Learning using scikit-learn and PyTorch☆10Sep 26, 2019Updated 6 years ago
- ☆88Nov 2, 2021Updated 4 years ago
- Regularized Neural ODEs (RNODE)☆81Jul 16, 2021Updated 4 years ago
- Bayesian scaling laws for in-context learning.☆15Mar 12, 2025Updated 11 months ago
- Implementation of Stochastic Gradient Descent algorithms in Python (cite https://doi.org/10.1007/s00158-020-02599-z)☆11May 19, 2021Updated 4 years ago
- ☆10Jan 28, 2024Updated 2 years ago
- NOMU: Neural Optimization-based Model Uncertainty☆10Feb 17, 2023Updated 3 years ago
- Public-facing repo for organising activities+ archiving material relating to the Graph Neural Network reading group.☆10Oct 8, 2024Updated last year
- Scripts for KGIRNet model for ESWC☆10Jul 6, 2023Updated 2 years ago
- A module for pulling python license data from `environment.yaml` and `requirements.txt` files☆11Nov 23, 2018Updated 7 years ago
- Convolutional Neural Networks for shoreline prediction☆12May 15, 2024Updated last year
- Experiments from our work Uncertainty Quantification and Deep Ensemble☆10Nov 1, 2021Updated 4 years ago
- Supporting code for "Parallel Streaming Wasserstein Barycenters"☆10Nov 14, 2017Updated 8 years ago
- GPU accelerated Perlin Noise in python☆11Oct 23, 2020Updated 5 years ago
- Official Implementation for CVPR 2025 paper Instant Adversarial Purification with Adversarial Consistency Distillation.☆15Dec 19, 2025Updated 2 months ago
- Unexplored Faces of Robustness and Out-of-Distribution: Covariate Shifts in Environment and Sensor Domains (CVPR 2024)☆10Jan 17, 2026Updated last month
- UQGAN: A Unified Model for Uncertainty Quantification of Deep Classifiers trained via Conditional GANs☆11Apr 13, 2023Updated 2 years ago
- Active Learning Helps Pretrained Models Learn the Intended Task (https://arxiv.org/abs/2204.08491) by Alex Tamkin, Dat Nguyen, Salil Desh…☆11Nov 22, 2022Updated 3 years ago
- 96 benchmark datasets for external clustering validation with class-label matching score☆13Oct 4, 2023Updated 2 years ago
- ☆14Oct 12, 2024Updated last year
- Prompt-Guided Retrieval For Non-Knowledge-Intensive Tasks☆12Sep 1, 2023Updated 2 years ago
- Code for the paper "Training Normalizing Flows with the Information Bottleneck for Competitive Generative Classification" (2020)☆43May 10, 2024Updated last year
- Code for https://arxiv.org/abs/1811.00145☆12Feb 13, 2021Updated 5 years ago
- PyTorch Implementation of Global Neuron Shape Reasoning with Point Affinity Transformers☆13Jul 27, 2025Updated 7 months ago
- Implementation of the paper 'Stochastic Wasserstein Barycenters'☆11Oct 17, 2018Updated 7 years ago
- Code for Generalization Guarantees for (Multi-Modal) Imitation Learning☆11Jul 14, 2022Updated 3 years ago
- Python DQN for practicable portfolio management☆13Sep 6, 2020Updated 5 years ago
- Code Release for Task Agnostic Dynamics Priors for Deep Reinforcement Learning☆12Jun 13, 2019Updated 6 years ago
- Dynamic Time Warping (DTW) and related algorithms in Julia☆13Mar 8, 2020Updated 6 years ago
- Pytorch code for "Learning Guidance Rewards with Trajectory-space Smoothing" (NeurIPS 2020)☆12Jul 7, 2021Updated 4 years ago