Popular GitHub Repositories for Mean Reversion Strategy

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

MiniMax-01 is a simple implementation of the MiniMax algorithm, a widely used strategy for decision-making in two-player turn-based games like Tic-Tac-Toe. The algorithm aims to minimize the maximum possible loss for the player, making it a popular choice for developing AI opponents in various game scenarios.

mean Average Precision - This code evaluates the performance of your neural net for object recognition.

An optimized deep prompt tuning strategy comparable to fine-tuning across scales and tasks

Evolutionary Algorithm using Python, 莫烦Python 中文AI教学

Object Detection Metrics. 14 object detection metrics: mean Average Precision (mAP), Average Recall (AR), Spatio-Temporal Tube Average Precision (STT-AP). This project supports different bounding box formats as in COCO, PASCAL, Imagenet, etc.

Jenetics - Genetic Algorithm, Genetic Programming, Grammatical Evolution, Evolutionary Algorithm, and Multi-objective Optimization

2024 up-to-date list of DATASETS, CODEBASES and PAPERS on Multi-Task Learning (MTL), from Machine Learning perspective.

A TensorFlow Implementation of "Deep Multi-Scale Video Prediction Beyond Mean Square Error" by Mathieu, Couprie & LeCun.

Pytorch Implementation (unofficial) of the paper "Mean Flows for One-step Generative Modeling" by Geng et al.

[ICLR 2025] Official implementation of Posterior-Mean Rectified Flow: Towards Minimum MSE Photo-Realistic Image Restoration

This code accompanies the the paper Trading with the Momentum Transformer: An Intelligent and Interpretable Architecture (https://arxiv.org/pdf/2112.08534.pdf).

Deep Xi: A deep learning approach to a priori SNR estimation implemented in TensorFlow 2/Keras. For speech enhancement and robust ASR.

Connect your AI app directly to your data with a full stack solution. Fully connected Agentic Graph RAG pipelines mean you can focus on fine tuning your app and not building data infrastructure.

[SIGGRAPH Asia 2024] ReVersion: Diffusion-Based Relation Inversion from Images

Easy whole-brain modeling for computational neuroscientists ??????

RLeXplore provides stable baselines of exploration methods in reinforcement learning, such as intrinsic curiosity module (ICM), random network distillation (RND) and rewarding impact-driven exploration (RIDE).

?This repo contains detailed notes and multiple projects implemented in Python related to AI and Finance. Follow the blog here: https://purvasingh.medium.com

Enterprise self-hosted Bitcoin Core automated trading software and trading bot, with DCA bot configuration, on-premise TWAP/VWAP strategy scripts, dynamic fee management, CCXT exchange adapter, compliance reporting, OTC desk integration, HSM hardware signing, real-time PnL metrics, and advanced strategy view windows.

Learning to Cluster. A deep clustering strategy.