Starred repositories
Python AutoML for Trading Systems and Sports Betting
An autonomous agent for deep financial research
The Source code for paper "Optimal Energy System Scheduling Combining Mixed-Integer Programming and Deep Reinforcement Learning". Safe reinforcement learning, energy management
Collection of notebooks about quantitative finance, with interactive python code.
The next generation deep reinforcement learning tookit
Chronos: Pretrained Models for Time Series Forecasting
PyMuPDF is a high performance Python library for data extraction, analysis, conversion & manipulation of PDF (and other) documents.
[ICLR 2025 Spotlight] Official implementation of "Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts"
This is an official PyTorch implementation of "Continuous Evolution Pool: Taming Recurring Concept Drift in Online Time Series Forecasting"
Arima, Sarima, LSTM, Prophet, DeepAR, Kats, Granger-causality, Autots
B21145 - Deep Learning for Time Series Data Cookbook
Adaptive large neighbourhood search (and more!) in Python.
NuCS is a Python constraint programming library for solving Constraint Satisfaction and Optimization Problems over finite domains
Self-paced bootcamp on Generative AI. Tutorials on ML fundamentals, Ollama, LLMs, RAGs, LangChain, LangGraph, Fine-tuning, DSPy & AI Agents (CrewAI), (Using ChatGPT, gpt-oss, Claude, Qwen3, Gemma3,…
FastStream is a powerful and easy-to-use asynchronous Python framework for building asynchronous services interacting with event streams such as Apache Kafka, RabbitMQ, NATS and Redis.
A set of documented functions for simulating the performance of photovoltaic energy systems.
A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.
🧠 Curated collection of system prompts for top AI tools. Perfect for AI agent builders and prompt engineers. Incuding: ChatGPT, Claude, Perplexity, Manus, Claude-Code, Loveable, v0, Grok, same new,…
12 Lessons to Get Started Building AI Agents
🔥 The Web Data API for AI - Turn entire websites into LLM-ready markdown or structured data
Causal Inference for the Brave and True的中文翻译版。全部代码基于Python，适用于计量经济学、量化社会学、策略评估等领域。英文版原作者：Matheus Facure
Professional practice for accomplished 'Pythoneers
Code and data of HRGraph, accepted to KaLLM workshop at ACL 2024.
NVIDIA cuOpt examples for decision optimization