Python - 100天从新手到大师
Data Engineering Zoomcamp is a free 9-week course on building production-ready data pipelines. Join the course here 👇🏼
Code for Machine Learning for Trading, 3rd edition — from data sourcing to live execution.
量化研究-券商金工研报复现
🚀 An open-source, hands-on curriculum bridging the gap from basic RL concepts to LLM alignment, RLVR, and advanced Agentic systems.
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。
”数学不难“ 之 《线性代数不难》上下册,66话题完册;欢迎批评指正
🌊深度整合全球顶尖学术、金融与教育资源:学术板块汇聚 JSTOR、Taylor & Francis、剑桥大学出版社等权威平台的论文,并接入 Z-Library 影子图书馆的海量电子书;教育板块收录香港、新加坡从小学到高中以及大学学科教科书;金融板块则聚合香橼、摩根、野村等顶级机构的深度研报,只为打破信息孤岛,构建知识平权普惠知识库。
🔥 LeetCode for PyTorch — practice implementing softmax, attention, GPT-2 and more from scratch with instant auto-grading. Jupyter-based, self-hosted or try online.
A modular Agentic RAG built with LangGraph — learn Retrieval-Augmented Generation Agents in minutes.
A hands-on introduction to video technology: image, video, codec (av1, vp9, h265) and more (ffmpeg encoding). Translations: 🇺🇸 🇨🇳 🇯🇵 🇮🇹 🇰🇷 🇷🇺 🇧🇷 🇪🇸
A collection of pre-trained, state-of-the-art models in the ONNX format
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.
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Comprehensive resources on Generative AI, including a detailed roadmap, projects, use cases, interview preparation, and coding preparation.
Collection of step-by-step playbooks for setting up AI/ML workloads on NVIDIA DGX Spark devices with Blackwell architecture.
Silero Models: pre-trained text-to-speech models made embarrassingly simple
A collection of scientific methods, processes, algorithms, and systems to build stories & models.
22 prompt engineering techniques with hands-on Jupyter Notebook tutorials, from fundamental concepts to advanced strategies for leveraging LLMs.
GTSAM is a library of C++ classes that implement smoothing and mapping (SAM) in robotics and vision, using factor graphs and Bayes networks as the underlying computing paradigm rather than sparse matrices.
Apache Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.
Analysis on systematic trading strategies (e.g., trend-following, carry and mean-reversion). The result is regularly updated.
A curated list of awesome resources for quantitative investment and trading strategies focusing on artificial intelligence and machine learning applications in finance.
Community-tested recipes, diagnostics, and benchmarks for CMP 170HX AI workloads
Dive into this repository, a comprehensive resource covering Data Structures, Algorithms, 450 DSA by Love Babbar, Striver DSA sheet, Apna College DSA Sheet, and FAANG Questions! 🚀 That's not all! We've got Technical Subjects like Operating Systems, DBMS, SQL, Computer Networks, and Object-Oriented Programming, all waiting for you.
《Python Cookbook》 3rd Edition Translation
Build production-ready LLM applications and advanced agents using Python, LangChain, and LangGraph. This is the companion repository for the book on generative AI with LangChain.
Aircraft design optimization made fast through computational graph transformations (e.g., automatic differentiation). Composable analysis tools for aerodynamics, propulsion, structures, trajectory design, and much more.
Time-Series-Optimized Transformer for Observability
Yıldız Teknik Üniversitesi Bilgisayar Mühendisliği Bölüme Lisans ve Yüksek Lisansa Dair Genel Bilgiler, Ders Notları, Ders slaytları, Örnek Proje. Burada Staj, Erasmus, Yaz Okulu, KOOP gibi Kavramların Süreçlerini ve Detaylarını bulabilirsiniz.
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H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.
TimeGPT-2.1: production ready pre-trained Time Series Foundation Model for forecasting and anomaly detection. Generative pretrained transformer for time series trained on over 100B data points. It's capable of accurately predicting various domains such as retail, electricity, finance, and IoT with just a few lines of code 🚀.
A Production-ready Reinforcement Learning AI Agent Library brought by the Applied Reinforcement Learning team at Meta.
Natural Gradient Boosting for Probabilistic Prediction
TorchXRayVision: A library of chest X-ray datasets and models. Classifiers, segmentation, and autoencoders.
Learn quantitative finance with this comprehensive lecture series. Adapted from the Quantopian Lecture Series. Uses free sample data.
Knowledge-graph RAG built from structured metadata instead of LLM extraction. 929M edges, zero LLM calls, 83.2% on held-out PubMedQA. Case study: the full PubMed 2026 baseline.
Module_5_Data Handling & Visualization_6_AI Applications & Mini Project
🎓 Academic portfolio that boosts citations. AI generates pages, you own as Markdown. BibTeX auto-import, Jupyter, LaTeX, slides, visual block editor — free to host forever. 学术主页,AI 生成,Markdown 拥有 👇
GNU Radio decoder for Amateur satellites
Deep Learning Simplified is an Open-source repository, containing beginner to advance level deep learning projects for the contributors, who are willing to start their journey in Deep Learning. Devfolio URL, https://devfolio.co/projects/deep-learning-simplified-f013
A free, self-paced 24-week AI engineering course: Python, machine learning, LLMs, RAG, fine-tuning, agents and MCP, Azure and Vertex and Bedrock, and Databricks. 43 runnable notebooks, one continuous case study. MIT licensed, no signup. By Zorost Intelligence AI Lab.
This repository is maintained by Hex Core 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
Auto-synced mirror of every free Early AI-dopters Gumroad resource. Newest first.
Albert: a small quadruped that learns to walk with PPO in MuJoCo and runs the policy on an ESP32
Python training for business analysts and traders
Data augmentation for NLP
TextWorld is a sandbox learning environment for the training and evaluation of reinforcement learning (RL) agents on text-based games.
Sentiment Analysis, Text Classification, Text Augmentation, Text Adversarial defense, etc.;
Repository for suggesting new lineages that should be added to the current scheme
Distill your LLM traces into a fast hybrid System 1 models. Open-source ML + LLM inference with calibrated deferral.
Hands-on Microsoft Fabric Data Science labs (FreshMart churn) with Thai study notes, PySpark/MLflow, and DP-604-aligned learning path.
Systematic ETF relative-strength research, overlapping-sleeve portfolio construction, LEAN implementation, and factor attribution.
Deployment & experimentation of LLM inference at production scale (P/D disaggregation, KV offloading, parallelism, and autoscaling).
RoPE attention is an exact forward-pass gradient step with softmax intact
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.
En este repositorio se colocará el material utilizado durante la Quinta Escuela de Cómputo Cuántico.
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