Jiaxin Zhang's repositories
UFEL
Out-of-Distribution Detection Using Layerwise Uncertainty in Deep Neural Networks
HesBO
The High-dimensional BayesOpt algorithms from "A Framework for Bayesian Optimization in Embedded Subspaces
FloRL
Implicit Normalizing Flows + Reinforcement Learning
CLoVER
Contour Location Via Entropy Reduction (NeurIPS 2018)
awesome-deep-rl-1
A curated list of awesome Deep Reinforcement Learning resources
ebm_code_release
Code for Implicit Generation and Generalization with Energy Based Models
odin
A simple and effective method for detecting out-of-distribution images in neural networks.
scalable_agent
A TensorFlow implementation of Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures.
SeqGAN
Implementation of Sequence Generative Adversarial Nets with Policy Gradient
TOSSE
An Efficient 51 lines Matlab code for topology optimization.
generative-models
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
CS228_PGM
🌀 Stanford CS 228 - Probabilistic Graphical Models
Structural-Kernel-Learning-for-HDBBO
Batched High-dimensional Bayesian Optimization via Structural Kernel Learning
graph-generation
GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models
GAAL-based-outlier-detection
GAAL-based Outlier Detection
AnomalyDetectionTransformations
A simple and effective method for single-class classification of images
MolGAN-pytorch
Pytroch implementation of MolGAN: An implicit generative model for small molecular graphs (https://arxiv.org/abs/1805.11973)
deepmesh
Random Mesh Projectors for Inverse Problems
CDE_with_BNF
Toy Examples of Conditional Density Estimation with Bayesian Normalizing flows
learned_gradient_tomography
Solving ill-posed inverse problems using iterative deep neural networks
OSDN
Code and data for the research paper "Towards Open Set Deep Networks" A Bendale, T Boult, CVPR 2016
Multimodel-inference
Multimodel selection using Bayesian and information-theoretical approach