Yi's repositories
torch_random_fields
A highly optimized library for building markov random fields with pytorch.
machine-learning-notes
My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (1500+ slides) 我不间断更新的机器学习,概率模型和深度学习的讲义(1500+页)和视频链接
certified-word-sub
Official repository for Jia, Raghunathan, Göksel, and Liang, "Certified Robustness to Adversarial Word Substitutions" (EMNLP 2019)
cryostar
Leveraging Structural Prior and Constraints for Cryo-EM Heterogeneous Reconstruction
nlp_adversarial_examples
Implementation code for the paper "Generating Natural Language Adversarial Examples"
normalizing-flows
PyTorch implementation of normalizing flow models
normalizing_flows
Pytorch implementations of density estimation algorithms: BNAF, Glow, MAF, RealNVP, planar flows
obfuscated-gradients
Obfuscated Gradients Give a False Sense of Security: Circumventing Defenses to Adversarial Examples
python-tsp
Simple library to solve Traveling Salesperson Problems with pure Python code
Pytorch-Backprojection
This code accompanies "Differentiable probabilistic models of scientific imaging with the Fourier slice theorem", UAI 2019
pytorch-crf
Conditional random field in PyTorch.
pytorch-struct
Fast, general, and tested differentiable structured prediction in PyTorch
PyTorchDiscreteFlows
Discrete Normalizing Flows implemented in PyTorch
runsnakerun
RunSnakeRun python profiling GUI front-end
siamese-triplet
Siamese and triplet networks with online pair/triplet mining in PyTorch
struct-learning-with-flow
PyTorch Implementation of Unsupervised Learning of Syntactic Structure with Invertible Neural Projections