This is your work, valued
wgan. Tensorflow Implementation of Wasserstein GAN (and Improved version in wgan_v2)
240fast-weights. Implementation of the paper [Using Fast Weights to Attend to the Recent Past](https://arxiv.org/abs/1610.06258)
173d2c. PyTorch implementation of D2C: Diffuison-Decoding Models for Few-shot Conditional Generation.
127cramer-gan. Tensorflow Implementation on "The Cramer Distance as a Solution to Biased Wasserstein Gradients" (https://arxiv.org/pdf/1705.10743.pdf)
123ml-cpc. Jupyter Notebook
36ais. Annealed Importance Sampling (AIS) for generative models.
16tsong.me. You can use my code, but I would appreciate it if you provide a link back to my website. Also do not mess up with Google Analytics!
15d2c_pre_release. Python
10infusion. Reproducing an experiment from ICLR 2017 submission "Learning to Generate Samples from Noise Through Infusion Training"
7cv. Curriculum Vitae using LaTeX.
5ddrm-exp-datasets. Demo images for DDRM paper
4icm2015. Source for our paper for the Interdisciplinary Contest in Modeling, which won the Outstanding Winner award (<1%).
4kl_wgan_sim. Jupyter Notebook
4scholar-bibtex-keys. Convert bibtex keys to Google scholar style: [first-author-last-name][year][title-first-word]
3biopedia. Data center skeleton for the Tsinghua Bioinformatics Group. The website is currently maintained by someone else.
3pretrained-models.pytorch. Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.
3tiny-gpt2.
2academic. Too many papers to update!
2stuff.
1cvpr2023-tutorial-papers.
1dsp-srt. TeX
1deis. DEIS: Fast Sampling of Diffusion Models with Exponential Integrator
1soahomework1. Tiny website using Weibo's OAuth2 API. Experiment mode. Only limited Weibo users are allowed.
1dalimeeting.github.io. 3rd-5th April, Lanzarote, Canary Islands
1tusk. Tsinghua University Serach Kit
1tensorflow-forward-ad. Forward-mode Automatic Differentiation for TensorFlow
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