Pinned Repositories
01_ModelPerformance
Bayesian model performance measurement
adsb-attack-simulation
Sourcecode for the simulation of ADS-B attacks
Amazon-Forest-Computer-Vision
Amazon Forest Computer Vision: Satellite Image tagging code using PyTorch / Keras with lots of PyTorch tricks
bayesian-machine-learning
Notebooks about Bayesian methods for machine learning
bayesian-neural-network-mnist
Bayesian neural network using Pyro and PyTorch on MNIST dataset
bindsnet
Simulation of spiking neural networks (SNNs) using PyTorch.
CD_NR_ELM
The matlab code for the JARS16 paper "Change Detection from Synthetic Aperture Radar Images Based on Neighborhood-Based Ratio and Extreme Learning Machine"
CD_PCANET
The matlab code for the GRSL16 paper "Automatic Change Detection in Synthetic Aperture Radar Images Based on PCANet"
CRPM-Net
PolSAR Image Classification Based on Dilated Convolution and Pixel-Refining Mapping Network in Complex Domain
pumpkin-book
《机器学习》（西瓜书）公式推导解析，在线阅读地址：https://datawhalechina.github.io/pumpkin-book
tandachi's Repositories
tandachi/CRPM-Net
PolSAR Image Classification Based on Dilated Convolution and Pixel-Refining Mapping Network in Complex Domain
tandachi/pumpkin-book
《机器学习》（西瓜书）公式推导解析，在线阅读地址：https://datawhalechina.github.io/pumpkin-book
tandachi/01_ModelPerformance
Bayesian model performance measurement
tandachi/adsb-attack-simulation
Sourcecode for the simulation of ADS-B attacks
tandachi/bayesian-machine-learning
Notebooks about Bayesian methods for machine learning
tandachi/bayesian-neural-network-mnist
Bayesian neural network using Pyro and PyTorch on MNIST dataset
tandachi/bindsnet
Simulation of spiking neural networks (SNNs) using PyTorch.
tandachi/cosine_softmax_keras
Quick implementation of Deep Cosine Metric Learning for Person Re-Identification in Keras
tandachi/DANet-keras
keras-Dual Attention Network for Scene Segmentation
tandachi/DCCA-keras-tensorflow
Deep Canonical Correlation Analysis - Implemented using the Keras functional API and tensorflow backend
tandachi/Deep-learning-books
Books for machine learning, deep learning, math, NLP, CV, RL, etc. 一些机器学习、深度学习等相关话题的书籍。
tandachi/DeepLearning-500-questions
深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
tandachi/interm
tandachi/keras-attention-mechanism
Attention mechanism Implementation for Keras.
tandachi/keras-octconv
Keras implementation of Octave Convolutions
tandachi/keras-triplet-center-loss
Simple Keras implementation of Triplet-Center Loss on the MNIST dataset
tandachi/Lihang
Statistical learning methods, 统计学习方法(第2版)[李航] [笔记, 代码, notebook, 参考文献, Errata, lihang]
tandachi/lihang-code
《统计学习方法》的代码实现
tandachi/Must-Reading-on-ISAC
Must Reading Papers, Research Library, Open-Source Code on Integrated Sensing and Communications (aka. Joint Radar and Communications, Joint Sensing and Communications, Dual-Functional Radar Communications)
tandachi/nndl.github.io
《神经网络与深度学习》 Neural Network and Deep Learning
tandachi/normalizing-flows
tandachi/PlotNeuralNet
Latex code for making neural networks diagrams
tandachi/powerful-gnns
How Powerful are Graph Neural Networks?
tandachi/pyprobml
Python code for "Machine learning: a probabilistic perspective" (2nd edition)
tandachi/pytorch-semseg
Semantic Segmentation Architectures Implemented in PyTorch
tandachi/Pytorch_VIF-Net
非官方基于Pytorch的VIF-Net复现。
tandachi/pyvarinf
Python package facilitating the use of Bayesian Deep Learning methods with Variational Inference for PyTorch
tandachi/pyvarinf2
tandachi/slic-python-implementation
🖼The python implementation to make superpixels by slic.
tandachi/Survey_of_Deep_Metric_Learning
A comprehensive survey of deep metric learning and related works