score_sde_pytorch
Score modeling framework
Provides a unified framework for score-based generative models using stochastic differential equations
PyTorch implementation for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)
2k stars
17 watching
320 forks
Language: Jupyter Notebook
last commit: 8 months ago
Linked from 1 awesome list
controllable-generationdiffusion-modelsgenerative-modelsiclr-2021inverse-problemspytorchscore-based-generative-modelingscore-matchingstochastic-differential-equations
amrzv/awesome-colab-notebooksRelated projects:
| Repository | Description | Stars |
|---|---|---|
| yang-song/score_sde | An implementation of score-based generative modeling through stochastic differential equations | 1,524 |
 drckf/paysage | An unsupervised learning and generative models library for Python, focusing on probabilistic models and efficient computation. | 119 |
 project-dc/pygeneses | A PyTorch-based framework for training and studying artificial species in bio-inspired environments | 72 |
 tianhongdai/integrated-gradient-pytorch | A PyTorch implementation of attributing the impact of inputs on deep neural network outputs | 182 |
 ikostrikov/pytorch-flows | PyTorch implementations of algorithms for density estimation using invertible transformations. | 577 |
 jpeg729/pytorch_bits | An experimental framework for developing and testing deep learning models on time-series prediction tasks | 79 |
 carpedm20/discogan-pytorch | A PyTorch implementation of a Generative Adversarial Network (GAN) for discovering cross-domain relations. | 1,084 |
 philipmostert/pointedsdms | Tools for building and evaluating integrated species distribution models from disparate datasets | 25 |
 pkmr06/pytorch-smoothgrad | PyTorch implementation of a technique to improve the interpretability of deep learning models by adding noise to the gradients | 168 |
 mrgemy95/visual-interaction-networks-pytorch | An implementation of Deepmind's Visual Interaction Networks using PyTorch to predict future events in physical scenes. | 166 |
 kaiyangzhou/dassl.pytorch | A PyTorch toolbox for supporting research and development of domain adaptation, generalization, and semi-supervised learning methods in computer vision. | 1,236 |
 kengz/slm-lab | A comprehensive framework for deep reinforcement learning using PyTorch. | 1,256 |
 l0sg/relational-rnn-pytorch | An implementation of DeepMind's Relational Recurrent Neural Networks (Santoro et al. 2018) in PyTorch for word language modeling | 245 |
 tristandeleu/pytorch-maml-rl | Replication of Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks in PyTorch for reinforcement learning tasks | 830 |
 wohlert/semi-supervised-pytorch | A collection of semi-supervised learning and generative models implemented in PyTorch | 707 |