1.xiaolai / the-craft-of-selfteaching
One has no future if one couldn't teach themself.
Ranked by Attention Score: stars gained over the last 30 complete days
1–100 of 228 by Attention Score · Oct 5, 2026 – Nov 3, 2026 (UTC)
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
Code for Machine Learning for Trading, 3rd edition — from data sourcing to live execution.
[WIP] Resources for AI engineers. Also contains supporting materials for the book AI Engineering (Chip Huyen, 2025)
FinRL®: Financial Reinforcement Learning. 🔥
End-to-end, code-first tutorials for building production-grade GenAI agents. From prototype to enterprise deployment.
The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery 🧑🔬
Google Research
[🔥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.
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.
FinGPT: Open-Source Financial Large Language Models! Revolutionize 🔥 We release the trained model on HuggingFace.
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/
Reference PyTorch implementation and models for DINOv3
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.
Practice your pandas skills!
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.
A High-Quality Real Time Upscaler for Anime Video
Neural building blocks for speaker diarization: speech activity detection, speaker change detection, overlapped speech detection, speaker embedding
Qwen3-VL is the multimodal large language model series developed by Qwen team, Alibaba Cloud.
Free MLOps course from DataTalks.Club. Register here 👇🏼 to get notified about the next cohort
强化学习中文教程(蘑菇书🍄),在线阅读地址:https://datawhalechina.github.io/easy-rl/
Python training for business analysts and traders
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
Examples and guides for using the Gemini API
Companion webpage to the book "Mathematics For Machine Learning"
PyTorch code and models for the DINOv2 self-supervised learning method.
Sample code and notebooks for Generative AI on Google Cloud, with Gemini platform
Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node
《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
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.
深度学习入门教程, 优秀文章, Deep Learning Tutorial
💿 Free software that works great, and also happens to be open-source Python.
🦙 LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022
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.
A game theoretic approach to explain the output of any machine learning model.
Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything
This repository contains implementations and illustrative code to accompany DeepMind publications
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
YSDA course in Natural Language Processing
12 Weeks, 24 Lessons, IoT for All!
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
A guidance language for controlling large language models.
A hands-on introduction to video technology: image, video, codec (av1, vp9, h265) and more (ffmpeg encoding). Translations: 🇺🇸 🇨🇳 🇯🇵 🇮🇹 🇰🇷 🇷🇺 🇧🇷 🇪🇸
Performance analysis of predictive (alpha) stock factors
No description provided by the repository host.
Get started with building Fullstack Agents using Gemini 2.5 and LangGraph
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
QLoRA: Efficient Finetuning of Quantized LLMs
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.
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A collection of various deep learning architectures, models, and tips
Flax is a neural network library for JAX that is designed for flexibility.
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
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。
MIMIC Code Repository: Code shared by the research community for the MIMIC family of databases
This repository contains demos I made with the Transformers library by HuggingFace.
Kubernetes Community Documentation
High-Resolution Image Synthesis with Latent Diffusion Models
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
Automatic extraction of relevant features from time series:
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。
Foundational Models for State-of-the-Art Speech and Text Translation
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.
Quantitative analysis, strategies and backtests
Instructional notebooks on music information retrieval.
A course in reinforcement learning in the wild
Your new Mentor for Data Science E-Learning.
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
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
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
Playing Pokemon Red with Reinforcement Learning
Portfolio and risk analytics in Python
A multi-voice TTS system trained with an emphasis on quality
No description provided by the repository host.
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.
The "Python Machine Learning (1st edition)" book code repository and info resource
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
Tutorials and programming exercises for learning Q# and quantum computing
Official inference library for Mistral models
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.
Convert AI papers to GUI,Make it easy and convenient for everyone to use artificial intelligence technology。让每个人都简单方便的使用前沿人工智能技术
:robot: :speech_balloon: Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts)
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
The fastest way to create an HTML app
TorchXRayVision: A library of chest X-ray datasets and models. Classifiers, segmentation, and autoencoders.