1patchy631 / ai-engineering-hub
In-depth tutorials on LLMs, RAGs and real-world AI agent applications.
+1,789 stars
from 38,428 · score 7.49
Trending repositories
Ranked by Attention Score: stars gained over the last 7 complete days
48 repositories by Attention Score · Oct 27, 2026 – Nov 2, 2026 (UTC)
2rasbt / LLMs-from-scratch
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
+369 stars
from 107,281 · score 5.91
3microsoft / AI-For-Beginners
12 Weeks, 24 Lessons, AI for All!
+196 stars
from 70,248 · score 5.28
4microsoft / ML-For-Beginners
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
+185 stars
from 91,747 · score 5.23
5NirDiamant / RAG_Techniques
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial.
+171 stars
from 30,001 · score 5.15
6stefan-jansen / machine-learning-for-trading
Code for Machine Learning for Trading, 3rd edition — from data sourcing to live execution.
+120 stars
from 21,550 · score 4.80
7NirDiamant / GenAI_Agents
50+ tutorials and implementations for Generative AI Agent techniques, from basic conversational bots to complex multi-agent systems.
+99 stars
from 24,685 · score 4.61
8GokuMohandas / Made-With-ML
Learn how to develop, deploy and iterate on production-grade ML applications.
+68 stars
from 49,824 · score 4.23
9AccumulateMore / CV
✅（已完结）超级全面的 深度学习 笔记【土堆 Pytorch】【李沐 动手学深度学习】【吴恩达 深度学习】【大飞 大模型Agent】
+65 stars
from 24,116 · score 4.19
10google-research / google-research
Google Research
+63 stars
from 39,025 · score 4.16
11DataTalksClub / machine-learning-zoomcamp
Learn ML engineering for free in 4 months! Register here 👇🏼
+60 stars
from 14,842 · score 4.11
12mrdbourke / pytorch-deep-learning
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
+55 stars
from 19,274 · score 4.03
13AI4Finance-Foundation / FinGPT
FinGPT: Open-Source Financial Large Language Models! Revolutionize 🔥 We release the trained model on HuggingFace.
+41 stars
from 21,467 · score 3.74
14UFund-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
+34 stars
from 18,732 · score 3.56
15DataTalksClub / mlops-zoomcamp
Free MLOps course from DataTalks.Club. Register here 👇🏼 to get notified about the next cohort
+33 stars
from 15,482 · score 3.53
16openai / CLIP
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
+30 stars
from 34,523 · score 3.43
17fastai / fastbook
The fastai book, published as Jupyter Notebooks
+25 stars
from 25,419 · score 3.26
18fastai / fastai
The fastai deep learning library
+21 stars
from 28,235 · score 3.09
19datawhalechina / leedl-tutorial
《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
+21 stars
from 16,828 · score 3.09
20evidentlyai / evidently
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.
+19 stars
from 8,010 · score 3.00
21musicinformationretrieval / musicinformationretrieval.com
Instructional notebooks on music information retrieval.
+11 stars
from 1,293 · score 2.48
22shap / shap
A game theoretic approach to explain the output of any machine learning model.
+10 stars
from 25,832 · score 2.40
23rorysroes / SGX-Full-OrderBook-Tick-Data-Trading-Strategy
Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.
+8 stars
from 2,361 · score 2.20
24letianzj / QuantResearch
Quantitative analysis, strategies and backtests
+7 stars
from 3,049 · score 2.08
25srush / GPU-Puzzles
Solve puzzles. Learn CUDA.
+6 stars
from 12,550 · score 1.95
26h2oai / h2o-3
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.
+5 stars
from 7,515 · score 1.79
27apache / hamilton
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.
+5 stars
from 2,617 · score 1.79
28trekhleb / homemade-machine-learning
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
+4 stars
from 24,841 · score 1.61
29spmallick / learnopencv
Learn OpenCV : C++ and Python Examples
+4 stars
from 23,219 · score 1.61
30zergtant / pytorch-handbook
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
+3 stars
from 21,737 · score 1.39
31aws / amazon-sagemaker-examples
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
+3 stars
from 10,998 · score 1.39
32TeamHG-Memex / eli5
A library for debugging/inspecting machine learning classifiers and explaining their predictions
+3 stars
from 2,854 · score 1.39
33stanfordmlgroup / ngboost
Natural Gradient Boosting for Probabilistic Prediction
+3 stars
from 1,897 · score 1.39
34Mikoto10032 / DeepLearning
深度学习入门教程, 优秀文章, Deep Learning Tutorial
+2 stars
from 17,868 · score 1.10
35NLP-LOVE / ML-NLP
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。
+2 stars
from 17,841 · score 1.10
36virgili0 / Virgilio
Your new Mentor for Data Science E-Learning.
+2 stars
from 15,004 · score 1.10
37microsoft / tensorwatch
Debugging, monitoring and visualization for Python Machine Learning and Data Science
+2 stars
from 3,477 · score 1.10
38fastai / numerical-linear-algebra
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
+1 stars
from 11,012 · score 0.69
39lexfridman / mit-deep-learning
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
+1 stars
from 10,460 · score 0.69
40EpistasisLab / tpot
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
+1 stars
from 10,054 · score 0.69
41skorch-dev / skorch
A scikit-learn compatible neural network library that wraps PyTorch
+1 stars
from 6,184 · score 0.69
42tensorflow / lucidArchived
A collection of infrastructure and tools for research in neural network interpretability.
+1 stars
from 4,704 · score 0.69
43guillaume-chevalier / LSTM-Human-Activity-Recognition
Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier
+1 stars
from 3,489 · score 0.69
44unslothai / hyperlearn
2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.
+1 stars
from 2,528 · score 0.69
45Data-Centric-AI-Community / fg-data-synthetic
Synthetic data generators for tabular and time-series data
+1 stars
from 1,661 · score 0.69
46mlmed / torchxrayvision
TorchXRayVision: A library of chest X-ray datasets and models. Classifiers, segmentation, and autoencoders.
+1 stars
from 1,215 · score 0.69
47The-FinAI / PIXIU
This repository introduces PIXIU, an open-source resource featuring the first financial large language models (LLMs), instruction tuning data, and evaluation benchmarks to holistically assess financial LLMs. Our goal is to continually push forward the open-source development of financial artificial intelligence (AI).
+1 stars
from 895 · score 0.69
48sustainable-processes / summit
Optimising chemical reactions using machine learning
+1 stars
from 154 · score 0.69