Implementation of various generative models
☆14Oct 1, 2018Updated 8 years ago
Alternatives and similar repositories for generative_models_pytorch
Users that are interested in generative_models_pytorch are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- A very naive and simple benchmark between dlib and pytorch in terms of space and time☆19May 13, 2020Updated 6 years ago
- Black Box Variational Inference☆14May 22, 2015Updated 11 years ago
- A tensorflow implementation of the NIPS 2018 paper "Variational Inference with Tail-adaptive f-Divergence"☆20Jan 11, 2019Updated 7 years ago
- Code for our ICLR19 paper "Wasserstein Barycenters for Model Ensembling", Pierre Dognin, Igor Melnyk, Youssef Mroueh, Jarret Ross, Cicero…☆24Nov 18, 2019Updated 6 years ago
- Dataset for stock prediction from tweets and historical stock prices.☆10May 16, 2024Updated 2 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.
- Uncertainty estimation on Mnist dataset☆23Jan 13, 2018Updated 8 years ago
- Python package for inference with Gaussian processes☆11Mar 25, 2015Updated 11 years ago
- ☆31Oct 26, 2020Updated 6 years ago
- ☆13Feb 17, 2018Updated 8 years ago
- Code for the ICML 2021 paper "Sharing Less is More: Lifelong Learning in Deep Networks with Selective Layer Transfer"☆12Aug 17, 2021Updated 5 years ago
- Sharing Deep Learning Research Models with Lightning Part 1: Building A Super Resolution App☆16Jun 30, 2022Updated 4 years ago
- Sequential decision-making in JAX.☆10Sep 21, 2026Updated last month
- ☆47Sep 11, 2026Updated last month
- ☆11Mar 12, 2019Updated 7 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Bayesian Graph Neural Networks☆11Sep 10, 2021Updated 5 years ago
- Samplers from the paper "Stochastic Gradient MCMC with Repulsive Forces"☆11Feb 3, 2020Updated 6 years ago
- This repository provides a multi task benchmark for instance segmentation, depth estimation, and 3D object detection.☆14Jul 29, 2023Updated 3 years ago
- Tools for robustness evaluation in interpretability methods☆10Jun 25, 2021Updated 5 years ago
- Enable RNNLM lattice rescoring with Pytorch [kaldi]☆12Jun 5, 2020Updated 6 years ago
- Evaluation of a number of loudness meter implementations☆13Aug 28, 2021Updated 5 years ago
- The codes and data of paper "cST-ML: Continuous Spatial-Temporal Meta-Learning for Traffic Dynamics Prediction"☆10Aug 28, 2020Updated 6 years ago
- Code for the NeurIPS 2019 paper: "Learning Dynamics of Attention: Human Prior for Interpretable Machine Reasoning"☆33Jun 27, 2023Updated 3 years ago
- 1-step Q Learning from the paper "Asynchronous Methods for Deep Reinforcement Learning"☆12Mar 13, 2017Updated 9 years ago
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- A tensorflow implementation of ByteNet with layer masking.☆10Jun 29, 2017Updated 9 years ago
- ☆16Oct 29, 2019Updated 7 years ago
- Deep Q-Networks in tensorflow☆10Apr 4, 2017Updated 9 years ago
- Data-driven and Physics-informed Operator Learning via Gaussian Processes☆14Oct 24, 2024Updated 2 years ago
- A deep residual learning network for predicting lung adenocarcinoma☆11May 13, 2021Updated 5 years ago
- Code for 'Inference Suboptimality in Variational Autoencoders'☆12May 22, 2020Updated 6 years ago
- Code for the paper: Unified Gradient Reweighting for Model Biasing with Applications to Source Separation☆14Nov 16, 2020Updated 5 years ago
- A project to show the possibility to save and load a session in ARkit using CoreML that uses GPS to improve the localization precision☆10Jul 21, 2022Updated 4 years ago
- Shared repository for personal idyll posts☆13Dec 7, 2021Updated 4 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.
- Official code for "Efficient Deep Gaussian Process Models for Variable-Sized Inputs" - accepted in IJCNN2019☆15Jul 17, 2019Updated 7 years ago
- Efficient non-linear PCA through kernel PCA with the Nyström method☆14May 19, 2023Updated 3 years ago
- A2Z GameSpec-Bench: How Faithfully Can Coding Agents Generate Games from Game Design Specifications?☆15Oct 8, 2026Updated 3 weeks ago
- ☆13Jul 14, 2022Updated 4 years ago
- GLCM，logistic fuction , OTSU , matlab，horizon detection in maritime， sea and sky segmentation☆12Jan 5, 2020Updated 6 years ago
- ☆14Jun 22, 2026Updated 4 months ago
- code of paper "Learning Temporal Point Processes Via Reinforcement Learning ", NeurIPS 2018☆10Dec 26, 2020Updated 5 years ago