Stars
Automated cryptocurrency trading bot
Simple connector to Binance Public API
Binance Exchange API python implementation for automated trading
FinRobot: An Open-Source AI Agent Platform for Financial Analysis using LLMs 🚀 🚀 🚀
A Free Newsletter for Quantitative and Algorithmic Trading, Portfolio Analysis, and Investing
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Advers…
A professionally curated list of awesome resources (paper, code, data, etc.) on Self-Supervised Learning for Time Series (SSL4TS).
tracking papers, datasets, and models of "large language model (LLM) for time series"
Open source guides/codes for mastering deep learning to deploying deep learning in production in PyTorch, Python, Apptainer, and more.
Get up and running with Llama 3.3, DeepSeek-R1, Phi-4, Gemma 2, and other large language models.
Run any Llama 2 locally with gradio UI on GPU or CPU from anywhere (Linux/Windows/Mac). Use `llama2-wrapper` as your local llama2 backend for Generative Agents/Apps.
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
Interact with your documents using the power of GPT, 100% privately, no data leaks
Fully private LLM chatbot that runs entirely with a browser with no server needed. Supports Mistral and LLama 3.
Whisper realtime streaming for long speech-to-text transcription and translation
PacktPublishing / Machine-Learning-for-Algorithmic-Trading-Second-Edition
Forked from stefan-jansen/machine-learning-for-tradingCode and resources for Machine Learning for Algorithmic Trading, 2nd edition.
Code for Machine Learning for Algorithmic Trading, 2nd edition.
Example implementation of the DeepStack algorithm for no-limit Leduc poker
Fully functional Pokerbot that works on PartyPoker, PokerStars and GGPoker, scraping tables with Open-CV (adaptable via gui) or neural network and making decisions based on a genetic algorithm and …
build_1_person_business_all_ai_all_local
A professionally curated list of awesome resources (paper, code, data, etc.) on transformers in time series.
A Python toolkit/library for reality-centric machine/deep learning and data mining on partially-observed time series, including SOTA neural network models for scientific analysis tasks of imputatio…