Jiaming Song

Elite
@jiamings

wgan. Tensorflow Implementation of Wasserstein GAN (and Improved version in wgan_v2)

240

fast-weights. Implementation of the paper [Using Fast Weights to Attend to the Recent Past](https://arxiv.org/abs/1610.06258)

173

d2c. PyTorch implementation of D2C: Diffuison-Decoding Models for Few-shot Conditional Generation.

127

cramer-gan. Tensorflow Implementation on "The Cramer Distance as a Solution to Biased Wasserstein Gradients" (https://arxiv.org/pdf/1705.10743.pdf)

123

ml-cpc. Jupyter Notebook

36

ais. Annealed Importance Sampling (AIS) for generative models.

16

tsong.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!

15

d2c_pre_release. Python

10

infusion. Reproducing an experiment from ICLR 2017 submission "Learning to Generate Samples from Noise Through Infusion Training"

7

cv. Curriculum Vitae using LaTeX.

5

ddrm-exp-datasets. Demo images for DDRM paper

4

icm2015. Source for our paper for the Interdisciplinary Contest in Modeling, which won the Outstanding Winner award (<1%).

4

kl_wgan_sim. Jupyter Notebook

4

scholar-bibtex-keys. Convert bibtex keys to Google scholar style: [first-author-last-name][year][title-first-word]

3

biopedia. Data center skeleton for the Tsinghua Bioinformatics Group. The website is currently maintained by someone else.

3

pretrained-models.pytorch. Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.

3

tiny-gpt2.

2

academic. Too many papers to update!

2

stuff.

1

cvpr2023-tutorial-papers.

1

dsp-srt. TeX

1

deis. DEIS: Fast Sampling of Diffusion Models with Exponential Integrator

1

soahomework1. Tiny website using Weibo's OAuth2 API. Experiment mode. Only limited Weibo users are allowed.

1

dalimeeting.github.io. 3rd-5th April, Lanzarote, Canary Islands

1

tusk. Tsinghua University Serach Kit

1

tensorflow-forward-ad. Forward-mode Automatic Differentiation for TensorFlow

1
26
Apply