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ailearning

AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP

ann4brains

Artificial neural networks for brain networks

antiplag

作业查重软件，它实现了程序代码、文档文本、图片之间的相似度检查。a code-similarity, text-similarity and image-similarity computation software for the codes, documents and images of assignment.

awesome-graph-neural-networks

Paper Lists for Graph Neural Networks

berkeley-stat-157

Homepage for STAT 157 at UC Berkeley

bindsnet

Simulation of spiking neural networks (SNNs) using PyTorch.

biological_learning

Example of "biological" learning for MNIST

cdn

Causal Dynamic Network Modeling

chatgpt_academic

科研工作专用ChatGPT拓展，特别优化学术Paper润色体验，支持自定义快捷按钮，支持自定义函数插件，支持markdown表格显示，Tex公式双显示，代码显示功能完善，新增本地Python/C++/Go项目树剖析功能/项目源代码自译解能力，新增PDF和Word文献批量总结功能/PDF论文全文翻译功能

circlize

Circular visualization in R

cnn_graph

Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering

complexheatmap

Make Complex Heatmaps

connectivity-and-functions

cornet

CORnet: Modeling the Neural Mechanisms of Core Object Recognition

cvu

Connectome visualization utility

deeplearning

深度学习入门教程&&优秀文章&&Deep Learning Tutorial

dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

eqprop

Equilibrium Propagation

gat

Graph Attention Networks (https://arxiv.org/abs/1710.10903)

gcn

Implementation of Graph Convolutional Networks in TensorFlow

gcn_metric_learning

Metric Learning with Graph Convolutional Neural Networks

github_code

Code for connectivity and function

graph-based-nn

Graph Convolutional Networks (GCNs)

graph_nets

Build Graph Nets in Tensorflow

heritability_github

keras

Deep Learning for humans

leabra

Python implementation of the Leabra framework

machine-learning-course-in-ucas

国科大机器学习课程&机器学习笔记

machine-learning-learning-notes

周志华《机器学习》又称西瓜书是一本较为全面的书籍，书中详细介绍了机器学习领域不同类型的算法(例如：监督学习、无监督学习、半监督学习、强化学习、集成降维、特征选择等)，记录了本人在学习过程中的理解思路与扩展知识点，希望对新人阅读西瓜书有所帮助！

multi-heads-attention-image-classification

Multi heads attention for image classification