Popular GitHub Repositories for Ema Crossover

label-smooth, amsoftmax, partial-fc, focal-loss, triplet-loss, lovasz-softmax. Maybe useful

:rocket: Blazing fast neuro-evolution & backpropagation for the browser and Node.js

Implementation of Mega, the Single-head Attention with Multi-headed EMA architecture that currently holds SOTA on Long Range Arena

MetaDE is a GPU-accelerated evolutionary framework that optimizes Differential Evolution (DE) strategies via meta-level evolution. Supporting both JAX and PyTorch, it dynamically adapts mutation and crossover strategies for efficient large-scale black-box optimization.

This is the repository of codes written in class.

Predictive algorithm for forecasting the mexican stock exchange. Machine Learning approach to forecast price and Indicator behaviours of MACD, Bollinger and SuperTrend strategy

TSDE is a novel SSL framework for TSRL, the first of its kind, effectively harnessing a diffusion process, conditioned on an innovative dual-orthogonal Transformer encoder architecture with a crossover mechanism, and employing a unique IIF mask strategy (KDD 2024, main research track).

GeneticPromptLab uses genetic algorithms for automated prompt engineering (for LLMs), enhancing quality and diversity through iterative selection, crossover, and mutation, while efficiently exploring minimal yet diverse samples from the training set.

Some recent state-of-the-art generative models in ONE notebook: (MIX-)?(GAN|WGAN|BigGAN|MHingeGAN|AMGAN|StyleGAN|StyleGAN2)(\+ADA|\+CR|\+EMA|\+GP|\+R1|\+SA|\+SN)*

GARNE: Genetic-Algorithm-with-Recurrent-Network-and-Novelty-Exploration

Compilation of technical analysis tools (EMA, Bollinger bands), fundamental analysis, machine learning models (LSTM, Random forest, ARIMA, GARCH, Markov Regime Switching), traditional stock prediction tools (Monte Carlo), sentiment analysis (NLP) as well as portfolio optimization, with purpose to provide a better understanding regarding possible future price movements of the analyzed stock and propose an optimal asset allocation.

An experimental evolutionary music generator that uses perfect shuffle crossover to create evolving MIDI sequences

An Elixir library for genetic programming and neuroevolution, implementing standard genetic algorithms and NEAT. Features parallel evaluation, checkpointing, and extensible operators for selection, crossover, and mutation. Solve optimization problems through evolution with a clean, flexible API.

Hybrid Expert Advisor for Forex HFT using EMA/ADX signals and AI forecasts (XGBoost, RF, LSTM). Supports real-time trading and backtesting in MetaTrader 5.

This project is dedicated to forecasting 1-hour EURUSD exchange rates through the strategic amalgamation of advanced deep learning techniques. The incorporation of key technical indicators—RSI, MA, EMA, and VWAP—enhances the model's grasp of market dynamics

这是一个为股票交易员设计的量化交易原型网页应用。该应用允许股票交易员使用布林带、指数移动平均线（EMA）、简单移动平均线（SMA）和相对强弱指标（RSI）等指标分析股票，并结合K线图观察特定交易时段内的价格波动、速度、成交量和动量。应用还会对交易策略进行回测，以确定盈利能力并减少损失。

MARS is an AI system developed by a collective of computer science students from EMA EMITS College Philippines in Pinamalayan, Oriental Mindoro aims to create a highly functional voice AI assistant that can understand, think, and speak in a similar way akin to a real person.

Neural Evolution of Augmenting Topologies(NEAT) library written in javascript, heavily based on Kenneth O. Stanley's c++ library.

一个交互式的Streamlit应用程序，使用真实的股票数据对简单移动平均线（SMA）、指数移动平均线（EMA）和相对强弱指标（RSI）交易策略进行回测，包含投资组合模拟和针对初学者的友好型解读。

Backtesting trading strategy performances between actual market returns, a dual moving average crossover strategy and support vector machines