Stars
Implementation of Trading Strategies for Backtesting in MetaTrader 5 (MT5) Using MQL5 Programming Language – Free Open-Source Trading Bots (Expert Advisors) for MT5
cut Claude Code token usage by rendering text context as images
MQ-Autonomous is a sophisticated algorithmic trading system designed to capitalize on significant market momentum by detecting high-probability breakout opportunities across multiple asset classes.
Полный Roadmap по машинному обучению 2026
Automatic extraction of relevant features from time series:
Graphs that teach > graphs that impress. Turn any code into an interactive knowledge graph you can explore, search, and ask questions about. Works with Claude Code, Codex, Cursor, Copilot, Gemini C…
Write professional-grade skills for agents, validate them using LLMs, and maintain a lean context window.
Hands-On Learning in Computer Vision
Эти задания я выполнял ежедневно в течении месяца, и все было не зря 😊
Everything you need for school 21 (школа 21)
Решенные задачи во время прохождения бассейна школы 21
Creating dataset from satellite images Sentinel-2 in Kashinsky district(Russia) and segmentation of heracleum
Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
"AI-Trader: 100% Fully-Automated Agent-Native Trading"
Donchian Ultimate is an iteration of Donchian channel indicators with a lot of customization options.
Cross-platform modular platform for backtesting and live trading of algorithmic strategies with declarative YAML-based configuration, flexible visualization, and support for multiple execution mode…
Awesome things about LLM-powered agents. Papers / Repos / Blogs / ...
Robust Speech Recognition via Large-Scale Weak Supervision
A modular graph-based Retrieval-Augmented Generation (RAG) system
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
Portfolio analytics for quants, written in Python
📈 Python package for trend detection on stock time series data 📉
Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecasting
Python Causal Impact Implementation Based on Google's R Package. Built using TensorFlow Probability.