Stars
What are the principles we can use to build LLM-powered software that is actually good enough to put in the hands of production customers?
The best way to get AI coding agents to solve hard problems in complex codebases.
Collection of awesome LLM apps with AI Agents and RAG using OpenAI, Anthropic, Gemini and opensource models.
Learn to build your Second Brain AI assistant with LLMs, agents, RAG, fine-tuning, LLMOps and AI systems techniques.
LlamaIndex is the leading framework for building LLM-powered agents over your data.
Stock Indicators for Python. Maintained by @LeeDongGeon1996
an open source, extensible AI agent that goes beyond code suggestions - install, execute, edit, and test with any LLM
Apache Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.
Autonomous coding agent right in your IDE, capable of creating/editing files, executing commands, using the browser, and more with your permission every step of the way.
tbl is a swiss army knife for parquet read and write operations
A multi-factor equity risk model for quantitative trading.
Algos
A single-node implementation of a Shadow RPC on top of Reth, utilizing ExEx and custom RPC methods.
Google Cloud Platform Vertex AI end-to-end workflows for machine learning operations
A curated list of awesome Machine Learning frameworks, libraries and software.
Performance analysis of predictive (alpha) stock factors
Find your trading edge, using the fastest engine for backtesting, algorithmic trading, and research.
Heimdall is an advanced EVM smart contract toolkit specializing in bytecode analysis and extracting information from unverified contracts.
cryo is the easiest way to extract blockchain data to parquet, csv, json, or python dataframes
Time series easier, faster, more fun. Pytimetk.
👀 Track & visualize user interactions with your streamlit app
A curated list of awesome libraries, packages, strategies, books, blogs, tutorials for systematic trading.
Code for Machine Learning for Algorithmic Trading, 2nd edition.