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Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations

Automatic extraction of relevant features from time series:

[NeurIPS 2024 Best Paper Award][GPT beats diffusion🔥] [scaling laws in visual generation📈] Official impl. of "Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction". An *ultra-simple, user-friendly yet state-of-the-art* codebase for autoregressive image generation!

FinRobot: An Open-Source AI Agent Platform for Financial Applications using Large Language Models

Evidently is ​​an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.

22 prompt engineering techniques with hands-on Jupyter Notebook tutorials, from fundamental concepts to advanced strategies for leveraging LLMs.

LLM-powered multiagent persona simulation for imagination enhancement and business insights.

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

Overview and tutorial of the LangChain Library

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Flax is a neural network library for JAX that is designed for flexibility.

Repo to accompany my mastering LLM engineering course

每个人都能看懂的大模型知识分享，LLMs春/秋招大模型面试前必看，让你和面试官侃侃而谈

LLM Zoomcamp - a free online course about real-life applications of LLMs. In 10 weeks you will learn how to build an AI system that answers questions about your knowledge base. Register here 👇🏼

The fastest way to create an HTML app

Optimize prompts, code, and more with AI-powered Reflective Optimization

An adversarial example library for constructing attacks, building defenses, and benchmarking both

Portfolio and risk analytics in Python

TensorFlow documentation

A scikit-learn compatible neural network library that wraps PyTorch

Financial portfolio optimization in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity

Neo4j graph construction from unstructured data using LLMs

Implement a reasoning LLM in PyTorch from scratch, step by step

Technical Analysis Library using Pandas and Numpy

Repo for the Complete Agentic AI Engineering Course

A collection of infrastructure and tools for research in neural network interpretability.

Notebooks using the Hugging Face libraries 🤗

《Pytorch实用教程》（第二版）无论是零基础入门，还是CV、NLP、LLM项目应用，或是进阶工程化部署落地，在这里都有。相信在本书的帮助下，读者将能够轻松掌握 PyTorch 的使用，成为一名优秀的深度学习工程师。

Performance analysis of predictive (alpha) stock factors

A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.