score_sde_pytorch. PyTorch implementation for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)
2.1kscore_sde. Official code for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)
1.8kscore_inverse_problems. Official repo for "Solving Inverse Problems in Medical Imaging with Score-Based Generative Models"
270score_flow. Official code for "Maximum Likelihood Training of Score-Based Diffusion Models", NeurIPS 2021 (spotlight)
154APDLM. Training Deep Neural Networks via Direct Loss Minimization
17yang-song.github.io. Personal website
16MLQuickNotes. Machine Learning Quick Notes
7GASR. C++ version for Bayesian matrix completion, 5-20 times faster
6pytorch-flows-plus. PyTorch implementations of normalizing flow modules
4dm-haiku. JAX-based neural network library
2jax. Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
2YouCompleteMe. A code-completion engine for Vim
2google-research. Google Research
2pulse. PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models
1flowplusplus. Implementation of Flow++ in PyTorch
1lucid. A collection of infrastructure and tools for research in neural network interpretability.
1LanczosNetwork. Lanczos Network, Graph Neural Networks, Deep Graph Convolutional Networks, Deep Learning on Graph Structured Data, QM8 Quantum Chemistry Benchmark, ICLR 2019
1pytorch-fid. A Port of Fréchet Inception Distance (FID score) to PyTorch
1academicpages.github.io. Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
1spectral-stein-grad. Code for "A Spectral Approach to Gradient Estimation for Implicit Distributions"
1vimrc. The ultimate Vim configuration: vimrc
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