thuwzy / ZhuSuan-PyTorchLinks
An Elegant Library for Bayesian Deep Learning in PyTorch
☆27Updated 3 years ago
Alternatives and similar repositories for ZhuSuan-PyTorch
Users that are interested in ZhuSuan-PyTorch are comparing it to the libraries listed below
Sorting:
- Visualization of mean field and neural tangent kernel regime☆21Updated last year
- [ICML'21] Improved Contrastive Divergence Training of Energy Based Models☆69Updated 3 years ago
- Code for the ICML 2021 paper "Bridging Multi-Task Learning and Meta-Learning: Towards Efficient Training and Effective Adaptation", Haoxi…☆68Updated 4 years ago
- Gradient Estimation with Discrete Stein Operators (NeurIPS 2022)☆17Updated 2 years ago
- ☆25Updated last year
- A curated paper list on neural symbolic and probabilistic logic.☆130Updated 2 years ago
- ZeroC is a neuro-symbolic method that trained with elementary visual concepts and relations, can zero-shot recognize and acquire more com…☆33Updated 2 years ago
- A python package providing a benchmark with various specified distribution shift patterns.☆59Updated 2 years ago
- [ICML 2021] This is the official github repo for training L_inf dist nets with high certified accuracy.☆42Updated 3 years ago
- Official implementation of Transformer Neural Processes☆78Updated 3 years ago
- NF-Layers for constructing neural functionals.☆93Updated last year
- [NeurIPS'20] Code for the Paper Compositional Visual Generation and Inference with Energy Based Models☆47Updated 2 years ago
- ☆33Updated 4 years ago
- ☆32Updated 2 years ago
- ☆17Updated 3 years ago
- ☆68Updated 6 years ago
- download slideslive presentations (video + slides)☆48Updated 5 years ago
- [NeurIPS 2021] Code for Unsupervised Learning of Compositional Energy Concepts☆62Updated 3 years ago
- Official implementation for Estimating the Optimal Covariance with Imperfect Mean in Diffusion Probabilistic Models (ICML 2022), and a re…☆110Updated 3 years ago
- Official implementation of ORCA proposed in the paper "Cross-Modal Fine-Tuning: Align then Refine"☆74Updated last year
- Template and style files for ICLR☆252Updated 4 months ago
- ☆13Updated 2 years ago
- Towards Understanding Sharpness-Aware Minimization [ICML 2022]☆37Updated 3 years ago
- ☆66Updated 4 years ago
- ☆73Updated last year
- The official PyTorch implementation of the paper: Xili Dai, Shengbang Tong, et al. "Closed-Loop Data Transcription to an LDR via Minimaxi…☆64Updated 3 years ago
- [ICLR '21] Interpretable Neural Architecture Search using Bayesian Optimisation with Weisfiler-Lehman Kernel (NAS-BOWL)☆23Updated 4 years ago
- Code for GFlowNet-EM, a novel algorithm for fitting latent variable models with compositional latents and an intractable true posterior.☆41Updated last year
- Neural Tangent Kernel Papers☆120Updated 11 months ago
- [ICLR 2022] "Bayesian Modeling and Uncertainty Quantification for Learning to Optimize: What, Why, and How" by Yuning You, Yue Cao, Tianl…☆14Updated 3 years ago