Ranked by Attention Score: stars gained over the last 180 complete days
1–100 of 257 by Attention Score · May 8, 2026 – Nov 3, 2026 (UTC)
Code for Machine Learning for Trading, 3rd edition — from data sourcing to live execution.
One has no future if one couldn't teach themself.
A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API
End-to-end, code-first tutorials for building production-grade GenAI agents. From prototype to enterprise deployment.
[WIP] Resources for AI engineers. Also contains supporting materials for the book AI Engineering (Chip Huyen, 2025)
FinRL®: Financial Reinforcement Learning. 🔥
Learn ML engineering for free in 4 months! Register here 👇🏼
This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed for developers, it focuses on practical techniques for building modular, scalable, and secure AI workflows from session setup to service orchestration.
[🔥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
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
FinGPT: Open-Source Financial Large Language Models! Revolutionize 🔥 We release the trained model on HuggingFace.
The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery 🧑🔬
本项目是一个面向小白开发者的大模型应用开发教程，在线阅读地址：https://datawhalechina.github.io/llm-universe/
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Reference PyTorch implementation and models for DINOv3
Google Research
Python training for business analysts and traders
Qwen3-VL is the multimodal large language model series developed by Qwen team, Alibaba Cloud.
Sample code and notebooks for Generative AI on Google Cloud, with Gemini platform
The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
Free MLOps course from DataTalks.Club. Register here 👇🏼 to get notified about the next cohort
Neural building blocks for speaker diarization: speech activity detection, speaker change detection, overlapped speech detection, speaker embedding
Examples and guides for using the Gemini API
强化学习中文教程（蘑菇书🍄），在线阅读地址：https://datawhalechina.github.io/easy-rl/
A High-Quality Real Time Upscaler for Anime Video
Companion webpage to the book "Mathematics For Machine Learning"
LangGPT: Empowering everyone to become a prompt expert! 🚀 📌 结构化提示词（Structured Prompt）提出者 📌 元提示词（Meta-Prompt）发起者 📌 最流行的提示词落地范式 | Language of GPT The pioneering framework for structured & meta-prompt design 10,000+ ⭐ | Battle-tested by thousands of users worldwide Created by 云中江树
Your new Mentor for Data Science E-Learning.
PyTorch code and models for the DINOv2 self-supervised learning method.
Practice your pandas skills!
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Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node
Evidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
A game theoretic approach to explain the output of any machine learning model.
深度学习入门教程, 优秀文章, Deep Learning Tutorial
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.
🦙 LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022
A guidance language for controlling large language models.
《李宏毅深度学习教程》（李宏毅老师推荐👍，苹果书🍎），PDF下载地址：https://github.com/datawhalechina/leedl-tutorial/releases
This repository contains implementations and illustrative code to accompany DeepMind publications
Get started with building Fullstack Agents using Gemini 2.5 and LangGraph
12 Weeks, 24 Lessons, IoT for All!
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
Welcome to the Llama Cookbook! This is your go to guide for Building with Llama: Getting started with Inference, Fine-Tuning, RAG. We also show you how to solve end to end problems using Llama model family and using them on various provider services
💿 Free software that works great, and also happens to be open-source Python.
Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything
Lists of company wise questions available on leetcode premium. Every csv file in the companies directory corresponds to a list of questions on leetcode for a specific company based on the leetcode company tags. Updated as of May, 2022.
Automatic extraction of relevant features from time series:
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此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。
Performance analysis of predictive (alpha) stock factors
YSDA course in Natural Language Processing
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。
A hands-on introduction to video technology: image, video, codec (av1, vp9, h265) and more (ffmpeg encoding). Translations: 🇺🇸 🇨🇳 🇯🇵 🇮🇹 🇰🇷 🇷🇺 🇧🇷 🇪🇸
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行
High-Resolution Image Synthesis with Latent Diffusion Models
MIMIC Code Repository: Code shared by the research community for the MIMIC family of databases
Kubernetes Community Documentation
This repository contains demos I made with the Transformers library by HuggingFace.
A collection of various deep learning architectures, models, and tips
QLoRA: Efficient Finetuning of Quantized LLMs
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
Flax is a neural network library for JAX that is designed for flexibility.
The fastest way to create an HTML app
Foundational Models for State-of-the-Art Speech and Text Translation
Quantitative analysis, strategies and backtests
Portfolio and risk analytics in Python
Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
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.
Playing Pokemon Red with Reinforcement Learning
A course in reinforcement learning in the wild
A multi-voice TTS system trained with an emphasis on quality
Natural Language Processing Tutorial for Deep Learning Researchers
Official inference library for Mistral models
The "Python Machine Learning (1st edition)" book code repository and info resource
stable diffusion webui colab
Toturials coming with the "data science roadmap" picture.
Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.
TeachOpenCADD: a teaching platform for computer-aided drug design (CADD) using open source packages and data
:robot: :speech_balloon: Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts)
LAVIS - A One-stop Library for Language-Vision Intelligence
WFGY is heading toward WFGY 5.0 Polaris Protocol, a major open-source release for AI reasoning, RAG, agents, and real-world workflows. Includes Problem Map, Global Debug Card, WFGY 4.0, and the CFV Easter Egg.
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