A project to deploy an online app that predicts the win probability for each NBA game every day. Demonstrates end-to-end Machine Learning deployment.

a cool and simple visualising tool to analyse your drone flights.

🐗 🐻 Deep Learning based Python Library for Stock Market Prediction and Modelling

Simple to use interfaces for basic technical analysis of stocks.

AG2 (formerly AutoGen): The Open-Source AgentOS.Join us at: https://discord.gg/sNGSwQME3x

Technical Analysis library in pandas for backtesting algotrading and quantitative analysis

Teaches step-by-step to analysis stock data in python.

Algo trade project in python

Schema-Guided Reasoning (SGR) has agentic system design created by neuraldeep community

Agent Reinforcement Trainer: train multi-step agents for real-world tasks using GRPO. Give your agents on-the-job training. Reinforcement learning for Qwen3.5, GPT-OSS, Llama, and more!

A collection of MCP servers.

Quant/Algorithm trading resources with an emphasis on Machine Learning

PyTrendFollow - systematic futures trading using trend following

Use unsupervised and supervised learning to predict stocks

An open source, privacy focused alternative to NotebookLM for teams with no data limit's. Join our Discord: https://discord.gg/ejRNvftDp9

Transforms complex documents like PDFs into LLM-ready markdown/JSON for your Agentic workflows.

This repository contains a machine learning model to predict the winner of the IPL 2024 season, along with a user-friendly web application for inputting match details and viewing predictions.

This project predicts cricket match winners based on historical data using Machine Learning algorithms. The dataset includes past matches with key features like teams, venue, toss decisions, and pe…

Cricket match score prediction using Machine learning algorithms: Linear Regression & Random Forest.

Portfolio optimization with deep learning.

Analysis on systematic trading strategies (e.g., trend-following, carry and mean-reversion). The result is regularly updated.

A high-frequency trading model using Interactive Brokers API with pairs and mean-reversion in Python

Extracted system prompts from ChatGPT (GPT-5.4, GPT-5.3, Codex), Claude (Opus 4.6, Sonnet 4.6, Claude Code), Gemini (3.1 Pro, 3 Flash, CLI), Grok (4.2, 4), Perplexity, and more. Updated regularly.

A Python library for measuring the acoustic features of speech (simultaneous speech, high entropy) compared to ones of native speech.

Build Real-Time Knowledge Graphs for AI Agents

A model-driven approach to building AI agents in just a few lines of code.

A framework for quantitative finance In python.

Awesome-LLM: a curated list of Large Language Model

A text-to-speech (TTS), speech-to-text (STT) and speech-to-speech (STS) library built on Apple's MLX framework, providing efficient speech analysis on Apple Silicon.