Kejie Jiang's repositories
attention-learn-to-route
Attention based model for learning to solve different routing problems
awesome-anomaly-detection
A complete list of papers on anomaly detection.
awsome-domain-adaptation
A collection of AWESOME things about domian adaptation
benchmarktu1402
Benchmark TU1402
beta-tcvae
code for "Isolating Sources of Disentanglement in Variational Autoencoders".
computer-science
:mortar_board: Path to a free self-taught education in Computer Science!
ConvLSTM
An implement by Pytorch
ConvLSTM_pytorch
Implementation of Convolutional LSTM in PyTorch.
data-driven-discretization-1d
Code for "Learning data-driven discretizations for partial differential equations"
DCL
Destruction and Construction Learning for Fine-grained Image Recognition
Deep-Metric-Learning-Baselines
PyTorch Implementation for Deep Metric Learning Pipelines
DeepKoopman
neural networks to learn Koopman eigenfunctions
disentangling-vae
Experiments for understanding disentanglement in VAE latent representations
filterpy
Python Kalman filtering and optimal estimation library. Implements Kalman filter, particle filter, Extended Kalman filter, Unscented Kalman filter, g-h (alpha-beta), least squares, H Infinity, smoothers, and more. Has companion book 'Kalman and Bayesian Filters in Python'.
Kalman-and-Bayesian-Filters-in-Python
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
LNPR_BOOK_CODES
Lecture notes of probabilistic robotics
mcmc-demo
Interactive Markov-chain Monte Carlo Javascript demos
MIM
Code release for "Memory In Memory: A Predictive Neural Network for Learning Higher-Order Non-Stationarity from Spatiotemporal Dynamics" (CVPR 2019)
NPEET
Non-parametric Entropy Estimation Toolbox
orange3
🍊 :bar_chart: :bulb: Orange: Interactive data analysis https://orange.biolab.si
pyod
A Python Toolbox for Scalable Outlier Detection (Anomaly Detection)
pyvarinf
Python package facilitating the use of Bayesian Deep Learning methods with Variational Inference for PyTorch
registration
Image Registration
Reproducible-Deep-Compressive-Sensing
Collection of reproducible deep learning for compressive sensing
sort
Simple, online, and realtime tracking of multiple objects in a video sequence.
transferlearning
Everything about Transfer Learning and Domain Adaptation--迁移学习
trimap
TriMap: Large-scale Dimensionality Reduction Using Triplets
xgboost
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow