All Algorithms implemented in Python

Models and examples built with TensorFlow

为GPT/GLM等LLM大语言模型提供实用化交互接口，特别优化论文阅读/润色/写作体验，模块化设计，支持自定义快捷按钮&函数插件，支持Python和C++等项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, m…

《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。

scikit-learn: machine learning in Python

PyTorch Tutorial for Deep Learning Researchers

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

PyTorch implementations of Generative Adversarial Networks.

Code samples for my book "Neural Networks and Deep Learning"

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

手写实现李航《统计学习方法》书中全部算法

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]

交易模块

【干货】史上最全的PyTorch学习资源汇总

Sequence modeling benchmarks and temporal convolutional networks

Simple PyTorch Tutorials Zero to ALL!

Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization

Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).

Simulation of spiking neural networks (SNNs) using PyTorch.

[CVPR 2021] Multi-Stage Progressive Image Restoration. SOTA results for Image deblurring, deraining, and denoising.

learn code with tensorflow

PyTorch code for CVPR 2018 paper: Learning to Compare: Relation Network for Few-Shot Learning (Few-Shot Learning part)

Pure python implementation of SNN

Python Heart Rate Analysis Package, for both PPG and ECG signals

Brian is a free, open source simulator for spiking neural networks.

A collection of implementations of deep domain adaptation algorithms

in progress

This repository is the notebook of Data Structure and Algorithms of ZJU "数据结构-浙江大学"

python 3 pytorch implementation of DANN

Feature Selection using Genetic Algorithm (DEAP Framework)