Stars
Google Research
This is a repo with links to everything you'd ever want to learn about data engineering
此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现,也是作为一个算法工程师必会的理论基础知识。
Natural Language Processing Tutorial for Deep Learning Researchers
《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
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》)
A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API
FinRL: Financial Reinforcement Learning. 🔥
Interview = 简历指南 + 算法题 + 八股文 + 源码分析
Repository to store sample python programs for python learning
TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实例代码,实战教程。
This repo is meant to serve as a guide for Machine Learning/AI technical interviews.
The 3rd edition of course.fast.ai
This project reproduces the book Dive Into Deep Learning (https://d2l.ai/), adapting the code from MXNet into PyTorch.
Homepage for STAT 157 at UC Berkeley
A collection of scientific methods, processes, algorithms, and systems to build stories & models.
For trading. Please star.
Awesome-pytorch-list 翻译工作进行中......
Various Types of Stock Analysis in Excel, Matlab, Power BI, Python, R, and Tableau
主要存储Datawhale组队学习中“数据挖掘/机器学习”方向的资料。
TradeMaster is an open-source platform for quantitative trading empowered by reinforcement learning 🔥 ⚡ 🌈
《机器学习理论导引》(宝箱书)的证明、案例、概念补充与参考文献讲解。
股票AI操盘手:从学习、模拟到实盘,一站式平台。包含股票知识、策略实例、因子挖掘、传统策略、机器学习、深度学习、强化学习、图网络、高频交易、C++部署和聚宽实例代码等,可以方便学习、模拟及实盘交易
Mathematical derivation and pure Python code implementation of machine learning algorithms.
动手学数据分析以项目为主线,知识点孕育其中,通过边学、边做、边引导来得到更好的学习效果
Machine learning from scratch
机器学习/深度学习/Python/Go语言面试题笔试题(Machine learning Deep Learning Python and Golang Interview Questions)