Stars
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
100-Days-Of-ML-Code中文版
pytorch handbook是一本开源的书籍,目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门,其中包含的Pytorch教程全部通过测试保证可以成功运行
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。
A collection of various deep learning architectures, models, and tips
《李宏毅深度学习教程》(李宏毅老师推荐👍,苹果书🍎),PDF下载地址:https://github.com/datawhalechina/leedl-tutorial/releases
A multi-voice TTS system trained with an emphasis on quality
Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node
深度学习入门开源书,基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.
PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch:入门与实战》)
QLoRA: Efficient Finetuning of Quantized LLMs
Book_4_《矩阵力量》 | 鸢尾花书:从加减乘除到机器学习;上架!
《动手学大模型Dive into LLMs》系列编程实践教程
Zero-Shot Speech Editing and Text-to-Speech in the Wild
links to conference publications in graph-based deep learning
This project reproduces the book Dive Into Deep Learning (https://d2l.ai/), adapting the code from MXNet into PyTorch.
简单粗暴 TensorFlow 2 | A Concise Handbook of TensorFlow 2 | 一本简明的 TensorFlow 2 入门指导教程
SoTA LLM for converting natural language questions to SQL queries
Tutorials for creating and using ONNX models
A Code-First Introduction to NLP course
The Elements of Statistical Learning (ESL)的中文翻译、代码实现及其习题解答。
Code and data accompanying Natural Language Processing with PyTorch published by O'Reilly Media https://amzn.to/3JUgR2L
A list of NLP(Natural Language Processing) tutorials
Repository for the free online book Machine Learning from Scratch (link below!)
Official repository of my book: "Deep Learning with PyTorch Step-by-Step: A Beginner's Guide"
同济大学软件学院软件工程专业课所有作业和项目,包括以下内容:数据结构,数据结构课程设计,计算机组成原理,计算机组成原理实验,程序设计范式,离散数学,Python,操作系统,操作系统课程设计,计算机系统结构,系统分析与设计,数据库原理与应用,数据库原理与应用课程设计,算法分析设计,人工智能导论,计算机网络,计算机网络实验,软件工程,软件工程课程设计,软件设计模式,智能计算系统,编译原理,嵌入式…
The goal of this library is to generate more helpful exception messages for matrix algebra expressions for numpy, pytorch, jax, tensorflow, keras, fastai.
This is a multi agent tutorial based on the CAMEL framework, aimed at understanding how to build an Agent Society from the ground up!