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Qwen2.5-Coder is the code version of Qwen2.5, the large language model series developed by Qwen team, Alibaba Cloud.
Run your own AI cluster at home with everyday devices 📱💻 🖥️⌚
Performance analysis of predictive (alpha) stock factors
ECMAScript proposal for type syntax that is erased - Stage 1
OpenDILab Decision AI Engine. The Most Comprehensive Reinforcement Learning Framework B.P.
Explain complex systems using visuals and simple terms. Help you prepare for system design interviews.
A visual, technical analysis and charting (Candlestick, OHLC, indicators) library built on D3.
Python framework for TradingView's Lightweight Charts JavaScript library.
PyGWalker: Turn your pandas dataframe into an interactive UI for visual analysis
A Smart, Automatic, Fast and Lightweight Web Scraper for Python
Fundamentally a swig/python wrapper around Peter Jaeckel's lets_be_rational. lets_be_rational focuses exclusively on Black76, while Vollib extends this to add support for Black-Scholes and Black-Sc…
A framework for quantitative finance In python.
ffn - a financial function library for Python
Lightweight Python library for assembling and analysing financial data
A Python Finance Library that focuses on the pricing and risk-management of Financial Derivatives, including fixed-income, equity, FX and credit derivatives.
Python toolkit for quantitative finance
Robust and flexible Python implementation of the willow tree lattice for derivatives pricing.
Applications of Monte Carlo methods to financial engineering projects, in Python.
A library for financial options pricing written in Python.
A Python library for mathematical finance
GPT4All: Run Local LLMs on Any Device. Open-source and available for commercial use.
An English-language shell for any OS, powered by LLMs
High-performance TensorFlow library for quantitative finance.
Detailed and tailored guide for undergraduate students or anybody want to dig deep into the field of AI with solid foundation.
Details on how to get Binance public data
A modern replacement for Redis and Memcached
Deep Learning and Machine Learning stocks represent promising opportunities for both long-term and short-term investors and traders.