30 open-source projects similar to synacktiv/rulesfinder, ranked by shared indexed features. Tags may describe platforms or build tools rather than the same primary purpose. Check each project’s use case, license, and deployment requirements before treating it as a replacement.
:boar: :bear: Deep Learning based Python Library for Stock Market Prediction and Modelling
This project is a structured educational curriculum designed to guide developers through the fundamentals of machine learning. It functions as a technical skill builder, offering a curated roadmap of progressive coding challenges that cover core algorithms, statistical concepts, and essential data science libraries. The repository distinguishes itself through an iterative sequencing of content, organizing complex technical topics into a daily progression that facilitates incremental mastery. It integrates third-party academic lectures and educational resources to provide necessary theoretical
This project is a collection of predictive models and quantitative tools for stock price forecasting. It implements a variety of machine learning architectures, including generative adversarial networks, long short-term memory networks, and language models for financial analysis. The system distinguishes itself by combining time-series forecasting with natural language processing to convert financial news into numerical sentiment scores. It also incorporates synthetic market data generation and automated hyperparameter optimization using Bayesian and reinforcement learning methods to reduce p
List of awesome resources for machine learning-based algorithmic trading
📈 Personae is a repo of implements and environment of Deep Reinforcement Learning & Supervised Learning for Quantitative Trading.
Source code for Algorithmic Trading with Python (2020) by Chris Conlan
Machine Learning in Asset Management (by @firmai)
🔬 A curated list of awesome LLMs & deep learning strategies & tools in financial market.
Environment for reinforcement-learning algorithmic trading models
Javier Rando 1 , Fernando Perez-Cruz 1,2 and Briland Hitaj 3
By Hema Kalyan Murapaka
This is a Python code for building a machine learning model to predict the strength of passwords based on their character-level features. The model is trained on a dataset of passwords labeled as weak, medium, or strong and uses logistic regression and gradient boosting algorithms for…
In today's fast-paced world, the way we travel and seek accommodations has undergone a remarkable transformation, thanks to platforms like Airbnb. This dynamic marketplace has empowered property owners and travellers, offering a diverse range of lodging options. However, one enduring challenge…
Movie recommendation systems are designed to provide personalized movie suggestions to users, enhancing their entertainment experience by helping them discover movies tailored to their preferences. This project showcases the development of a Movie Recommendation System using various…
LinkedIn Hema Kalyan Murapaka - Medium KalyanMurapaka274
LinkedIn Hema Kalyan Murapaka - Medium KalyanMurapaka274
This project aims to develop a machine learning model that accurately predicts housing prices using the Boston Housing dataset. By analyzing various features of houses, such as crime rate, number of rooms, and accessibility to highways, the model provides valuable insights for potential buyers…
This GitHub repository contains a Machine Learning model for predicting whether an object is a rock or a mine. Leveraging a dataset of object characteristics, this project offers accurate classification capabilities.
A production-grade machine learning system designed to robustly classify emails as "Spam" or "Ham" (legitimate). This project features a modular pipeline architecture for training and inference, integrated with a modern Streamlit user interface for easy interaction.
The primary objective of this project is to develop a predictive model that can forecast the performance of students in their academic projects. The model aims to help educators and institutions identify students who may need additional support or intervention early in the project development…