EGNN-Pytorch（WIP） 中的实现。 最终可用于Alphafold2复制。 安装 $ pip install egnn-pytorch 用法 import torch from egnn_pytorch import EGNN layer1 = EGNN ( dim = 512 ) layer2 = EGNN ( dim = 512 ) feats = torch . randn ( 1 , 16 , 512 ) coors = torch . randn ( 1 , 16 , 3 ) feats , coors = layer1 ( feats , coors ) feats , coors = layer2 ( feats , coors ) # (1, 16, 512), (1, 16, 3) 带边 import torch from egnn_pytorch impo

朴素贝叶斯算法matlab代码用于机器学习的MATLAB 这是的代码存储库，由发行。 它包含从头到尾完成本书所必需的所有支持项目文件。 关于这本书 对于许多机器学习的研究人员和数学专家来说，MATLAB是首选的语言。 本书将帮助您为初学者使用MATLAB建立机器学习基础。 您将首先使用MATLAB环境进行机器学习来为系统做好准备，然后您将了解如何轻松地与Matlab工作区进行交互。 然后，我们将继续进行数据清洗，挖掘和分析机器学习中的各种数据类型，您将看到如何在绘图上显示数据值。 接下来，您将了解不同类型的回归技术，以及如何使用MATLAB函数将其应用于数据。 您还将探索分类技术，例如K最近邻分析和朴素贝叶斯算法，并了解决策树和规则学习者。 之后，您将深入研究无监督学习，并使用聚类方法（例如k均值方法和树状图）查找数据组。 您将了解神经网络的基本概念，并执行数据拟合，模式识别和聚类分析。 最后，您将探索特征选择和提取技术，以减少维度以提高性能。 在本书的最后，您将学习将它们放到实际案例中，涵盖主要的机器学习算法，并熟练使用MATLAB进行机器学习。 ##说明和导航所有代码都组织在文件夹

Loan_Default_Prediction：贷款违约预测的端到端机器学习过程，机器学习的最终项目ISpring2018 @ GWU

DQN-PyTorch 实现PyTorch 目录： 项目结构： ├── agents | └── dqn.py # the main training agent for the dqn ├── graphs | └── models | | └── dqn.py | └── losses | | └── huber_loss.py # contains huber loss definition ├── datasets # contains all dataloaders for the project ├── utils # utilities folder containing input extraction, replay memory, config parsing, etc | └── assets | └── replay_memory.py |

A First Course in Machine Learning(2nd)--Simon Rogers && Mark Girolami

韩松—TinyML and Efficient Deep Learning，介绍ppt

Designing digital circuits used to be something that only big companies could afford to do. It used to require creating application-specific integrated circuits (ASICs)—taking weeks or months to produce an actual chip, and requiring piles of cash or wiring together tons of individual chips to perform various logic functions. Then the fieldprogrammable gate array (FPGA) was introduced. FPGAs are programmable logic devices. Unlike an ASIC, the function an FPGA performs is determined at runtime, so an FPGA can be configured to act like just about any digital circuit. However, it wasn’t until recently that the cost of FPGAs has dropped to a point where they are now affordable for even hobbyists.

An Introduction to Statistical Learning，英文原版，非扫描版，可以用电脑词典随时翻译。 Gareth James Daniela Witten Trevor Hastie Robert Tibshirani

It’s an exciting time to be agile! For the first time, our industry has found a real, sustainable way to solve problems that generations of software development teams have been struggling with. Here are just a few of the solutions that agile promises: • Agile projects come in on time, which is great for teams that have struggled with projects delivered very late and far over budget. • Agile projects deliver high-quality software, which is a big change for teams that have been bogged down by buggy, inefficient software. • Code built by agile teams is well constructed and highly maintainable, which should be a relief to teams accustomed to maintaining convoluted and tangled spaghetti code. • Agile teams make their users happy, which is a huge change from software that fails to deliver value to the users. • Best of all, developers on an effective agile team find themselves working normal hours, and are able to spend their nights and weekends with their friends and families—possibly for the first time in their careers.

ITMO_FS Python中的功能选择库 套餐信息： 与安装 pip install ITMO_FS 当前可用的算法： 筛选器 包装纸 杂交种 嵌入式的 合奏 斯皮尔曼相关 添加删除 过滤器包装 莫斯 锂离子电池 皮尔逊相关 向后选择 苔藓 最好先 适合标准 顺序正向选择 RFE 最好的总和 F比 合格证 基尼指数 爬山 信息增益 最小冗余最大相关性 VDM 合格证 美格玛 说明文件：