mse's repositories
vector-quantize-pytorch
Vector Quantization, in Pytorch
approachingalmost
Approaching (Almost) Any Machine Learning Problem
BayesianNN
Implementation of BNNs for virtual monitoring (offshore wind farms) and uncertainty quantification
tuning_playbook
A playbook for systematically maximizing the performance of deep learning models.
Learn-to-Estimate-Fluid-Motion
[ICML 2022] Learning to Estimate and Refine Fluid Motion with Physical Dynamics
UBC-2002-BENCHMARK-SHM-Hammer-files
This repository is about reading and examining the hammer test data
yolov7
Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
SAITS
The official code repository for paper "SAITS: Self-Attention-based Imputation for Time Series". A fast and state-of-the-art (SOTA) model with efficiency for multivariate time-series imputation.
PyTorch-VAE
A Collection of Variational Autoencoders (VAE) in PyTorch.
statistical_shm
Project for dynamic identification and structural health monitoring of real structures using data-based statistical time series analysis
PRML
PRML algorithms implemented in Python
SoundStream
This repository is an implementation of this article: https://arxiv.org/pdf/2107.03312.pdf
SOM_DAGMM
Code for Self Organizing Map assissted Deep Autoencoding gaussian Mixture Model for intrusion detection
prml-1
Repository of notes, code and notebooks in Python for the book Pattern Recognition and Machine Learning by Christopher Bishop
mcr2
Official Implementation of Learning Diverse and Discriminative Representations via the Principle of Maximal Coding Rate Reduction (2020)
yolox-pytorch
这是一个yolox-pytorch的源码，可以用于训练自己的模型。
Group-sparsity-aware-CNN
For data recovery of Structural Health Monitoring
Deep_SVDD_VAE_TF
Unofficial implementation of 2021 Neurocomputing paper "VAE-based Deep SVDD for anomaly detection" TensorFlow 2.0 version
deep-symbolic-optimization
Source code for deep symbolic optimization.
TransFill-Reference-Inpainting
This is the official repo for TransFill: Reference-guided Image Inpainting by Merging Multiple Color and Spatial Transformations at CVPR'21. According to some product reasons, we are not planning to release the training/testing codes and models. However, we will release the dataset and the scripts to prepare the dataset.
MWCNNv2
Multi-level Wavelet Convolutional Neural Networks
redunet_paper
Official NumPy Implementation of Deep Networks from the Principle of Rate Reduction (2021)
WaveletKernelNet
This is the code for WaveletKernelNet.