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
hugo2046 / QuantsPlaybook
量化研究-券商金工研报复现
The-Art-of-Hacking / h4cker
This repository is maintained by Omar Santos (@santosomar) and includes thousands of resources related to ethical hacking, bug bounties, digital forensics and incident response (DFIR), AI security, vulnerability research, exploit development, reverse engineering, and more. 🔥 Also check: https://hackertraining.org
charliedream1 / ai_quant_trade
Stock AI Trader: 1-stop platform for learning, sim & live trading. Covers: stock basics, strategies, LLMs, factor mining, ML/DL/RL, graph nets, HFT, C++ deploy & JoinQuant code. 股票AI操盘手：一站式学习、模拟、实盘平台。涵盖：股票基础、策略、大模型、因子挖掘、机器学习/深度学习/强化学习、图网络、高频交易、C++部署及聚宽代码。
duoan / TorchCode
🔥 LeetCode for PyTorch — practice implementing softmax, attention, GPT-2 and more from scratch with instant auto-grading. Jupyter-based, self-hosted or try online.
GiovanniPasq / agentic-rag-for-dummies
A modular Agentic RAG built with LangGraph — learn Retrieval-Augmented Generation Agents in minutes.
Exorust / TorchLeet
LeetCode for PyTorch — 65 ML/AI interview problems from real interviews at Google, Meta, Anthropic. Jupyter notebooks, an auto-grader, and an MCP AI tutor.
NirDiamant / Prompt_Engineering
22 prompt engineering techniques with hands-on Jupyter Notebook tutorials, from fundamental concepts to advanced strategies for leveraging LLMs.
cantaro86 / Financial-Models-Numerical-Methods
Collection of notebooks about quantitative finance, with interactive python code.
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.
rolling-panda-san / notebooks
Analysis on systematic trading strategies (e.g., trend-following, carry and mean-reversion). The result is regularly updated.
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.
IST-DASLab / disaggregated-quantization
Disaggregated quantization official codebase
numerai / example-scripts
A collection of scripts and notebooks to help you get started quickly.
quantrocket-codeload / quant-finance-lectures
Learn quantitative finance with this comprehensive lecture series. Adapted from the Quantopian Lecture Series. Uses free sample data.
datawhalechina / quant-for-beginners
—
ZhanbotaErlan / US-Kazakhstan-Stock-Analysis
Independent quantitative finance research project comparing U.S. and Kazakhstan equity markets using Python and portfolio theory.
nianticlabs / monodepth2
[ICCV 2019] Monocular depth estimation from a single image
milvus-io / bootcamp
Dealing with all unstructured data, such as reverse image search, audio search, molecular search, video analysis, question and answer systems, NLP, etc.
AlexKrasnok / quantum-computing-lectures
Open quantum computing course for teaching, self-study, exam preparation, and quantum-technology career preparation.
pinecone-io / examples
Jupyter Notebooks to help you get hands-on with Pinecone vector databases
understandable-machine-intelligence-lab / Quantus
[JMLR 2023] Quantus is an eXplainable AI toolkit for responsible evaluation of neural network explanations
erdogant / bnlearn
Python package for Causal Discovery by learning the graphical structure of Bayesian networks. Structure Learning, Parameter Learning, Inferences, Sampling methods.
joreilly / FantasyPremierLeague
Fantasy Premier League Kotlin/Compose Multiplatform sample
wenqi9115-glitch / systematic-etf-relative-strength-alpha-attribution
Systematic ETF relative-strength research, overlapping-sleeve portfolio construction, LEAN implementation, and factor attribution.
leochlon / secant
RoPE attention is an exact forward-pass gradient step with softmax intact
jaswantlhz / QGSS-26-Resources
Comprehensive archive of IBM Qiskit Global Summer School 2026 (QGSS '26) lecture slides, C++/Python lab walkthroughs, code notebooks, reading strategies, and a curated 80+ item Quantum Computing & QML resource collection.
LAPI-UNAM / quinta_escuela_de_computo_cuantico
En este repositorio se colocará el material utilizado durante la Quinta Escuela de Cómputo Cuántico.
AnantVerma-2022 / KPMG_2_GLB
This repository contains the lecture materials, notebooks, code, datasets, assignments, demonstrations, and resources used during the Industry-Oriented AI Foundamentals Training Program conducted in August 2026.
patrickbryant1 / EvoBind-multimer
De novo Design of Macrocyclic Molecular Glues
NirDiamant / Controllable-RAG-Agent
This repository provides an advanced Retrieval-Augmented Generation (RAG) solution for complex question answering. It uses sophisticated graph based algorithm to handle the tasks.
Q-transmon-xmon / EDA-Q
EDA-Q is a full-stack electronic design automation (EDA) tool for quantum chip design, supporting both superconducting and trapped-ion quantum computing architectures. The platform enables researchers and engineers to efficiently design, simulate, and optimize quantum chips.
SweiryDev / MicroCNN-TangNano20k
SystemVerilog SoC implementing MicroCNN accelerator on the Tang Nano 20K for BloodMNIST image classification.
Classiq / classiq-library
The Classiq Library is the largest collection of quantum algorithms and applications. It is the best way to explore quantum computing software. We welcome community contributions to our Library 🙌
dave-137 / quantum-experiments
Personal quantum-computing experiments with Cirq and Mitiq.
RadixRootMind / RadixQuantVLA
RadixQuantVLA is a unified, Lego-like framework for post-training quantization, benchmarking, and deployment preparation of Vision-Language-Action models, integrating QuantVLA, Omega-QVLA, OpenVLA, UniVLA, StarVLA, GR00T, and Pi0.5 routes with standardized launchers and validation on LIBERO benchmarks.
DataExpert-io / data-engineer-handbook
This is a repo with links to everything you'd ever want to learn about data engineering
wolny / pytorch-3dunet
3D U-Net model for volumetric semantic segmentation written in pytorch