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Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
《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
Code for Machine Learning for Algorithmic Trading, 2nd edition.
One has no future if one couldn't teach themself.
Examples and guides for using the Gemini API
A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API
FinRL®: Financial Reinforcement Learning. 🔥
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.
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
Automatic extraction of relevant features from time series:
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
Notebooks and code for the book "Introduction to Machine Learning with Python"
An annotated implementation of the Transformer paper.
Collection of notebooks about quantitative finance, with interactive python code.
Pytorch🍊🍉 is delicious, just eat it! 😋😋
Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai
Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity
AIInfra（AI 基础设施）指AI系统从底层芯片等硬件，到上层软件栈支持AI大模型训练和推理。
数据挖掘、计算机视觉、自然语言处理、推荐系统竞赛知识、代码、思路
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、大模型、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
A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
《大模型白盒子构建指南》：一个全手搓的Tiny-Universe
Quantitative analysis, strategies and backtests
Quantitative research and educational materials