stefan-jansen / machine-learning-for-trading
Code for Machine Learning for Trading, 3rd edition — from data sourcing to live execution.
stefan-jansen / machine-learning-for-trading
NirDiamant / GenAI_Agents
50+ tutorials and implementations for Generative AI Agent techniques, from basic conversational bots to complex multi-agent systems.
UFund-Me / Qbot
[🔥updating ...] AI 自动量化交易机器人(完全本地部署) AI-powered Quantitative Investment Research Platform. 📃 online docs: https://ufund-me.github.io/Qbot ✨ :news: qbot-mini: https://github.com/Charmve/iQuant
cantaro86 / Financial-Models-Numerical-Methods
Collection of notebooks about quantitative finance, with interactive python code.
frankwxu / digital-forensics-lab
Free hands-on digital forensics labs for students and faculty
leoncuhk / awesome-quant-ai
A curated list of awesome resources for quantitative investment and trading strategies focusing on artificial intelligence and machine learning applications in finance.
NirDiamant / Agent_Memory_Techniques
Agent memory for LLMs: 30 runnable Jupyter notebooks covering conversation buffers, vector stores, knowledge graphs, episodic and semantic memory, MemGPT, Mem0, Letta, Zep, Graphiti, LoCoMo benchmarks, and production patterns.
mhmd-81 / Starling
Starling is a time-series anomaly detection research project. Its goal is to investigate how different retraining strategies affect anomaly detection when time-series data changes over time.We use NASA SMAP/MSL telemetry data from [Telemanom](https://github.com/khundman/telemanom).
microsoft / CyberBattleSim
An experimentation and research platform to investigate the interaction of automated agents in an abstract simulated network environments.
rolling-panda-san / notebooks
Analysis on systematic trading strategies (e.g., trend-following, carry and mean-reversion). The result is regularly updated.
onnx / tensorflow-onnx
Convert TensorFlow, Keras, Tensorflow.js and Tflite models to ONNX
markovka17 / dla
Deep learning for audio processing
CornellNLP / ConvoKit
ConvoKit is a toolkit for extracting conversational features and analyzing social phenomena in conversations. It includes several large conversational datasets along with scripts exemplifying the use of the toolkit on these datasets.
google-ai-edge / litert-torch
Support PyTorch model conversion with LiteRT.
LosingLoonies-Youtube / congress-trading-investigation
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Harrypatria / Agentic-AI-Masterclass-Handbook-Usecases-Convergeni
Building AI agents and retrieval systems, a masterclass in LLM agents, RAG, and production deployment.