This API provides programmatic access to the AlphaGenome model developed by Google DeepMind.

Generating sets of formulaic alpha (predictive) stock factors via reinforcement learning.

Research code accompanying AlphaGenome

AlphaGenome PyTorch port

Implementation of AlphaGenome, Deepmind's updated genomic attention model

Feedback Driven Alpha Generation Pipeline combining Gemini API with the WorldQuant BRAIN API to automatically generate, backtest and iteratively refine trading signals. "Automate the Routine, Preserve the Creative."

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OmniAlpha: 全场景智能量化研究与交易引擎 OmniAlpha 是一个专为 A 股市场设计的模块化量化交易平台。它不仅集成了实时行情获取、历史回测和模拟盘执行，更核心的突破在于其双循环架构：内置基于遗传算法与强化学习的 AlphaGen 因子挖掘工厂，并预留了 LLM（大语言模型） 接口，用于语义情感分析与策略自动化生成。

Alphagene: Applying Genetic Algorithms for Enhancing the Performance of Reinforcement Learning.

This is a established tool using Alphagenome to screen the possible effects of variants to expression patterns.

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Frontend for the alphagen gallery NFT project on the Solana blockchain.

Web app for interacting with Google DeepMind's AlphaGenome model — interval predictions, variant effect analysis, and visualization

Benchmarking approaches to fine-tune AlphaGenome on lentiMPRA data

This code demonstrates how to create RNA-seq prediction diagrams with AlphaGenome

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web3quant: crypto data system + alphagen + web UI

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MCP server for AI-powered genomic variant analysis

windows cpu version for alphagen

Character creation app for Archipel (a role-playing game in development)

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MCP for DeepMind alphagenome API

A web dashboard for analyzing whole genome sequencing data using Google DeepMind's AlphaGenome API.

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alphagen

AlphaGen is a tool that allows for searching optimal algorithmic strategies using a custom genetic algorithm