1.rohitg00 / ai-engineering-from-scratch
Learn AI Engineering! Learn it. Build it. Ship it for others.
+2,440 stars
from 73,807 · score 7.80
Trending repositories
Ranked by Attention Score: stars gained over the last 7 complete days
1–100 of 113 by Attention Score · Oct 27, 2026 – Nov 2, 2026 (UTC)
2.patchy631 / ai-engineering-hub
In-depth tutorials on LLMs, RAGs and real-world AI agent applications.
+1,789 stars
from 38,428 · score 7.49
3.wanshuiyin / Auto-claude-code-research-in-sleep
ARIS ⚔️ (Auto-Research-In-Sleep) — Lightweight Markdown-only skills for autonomous ML research: cross-model review loops, idea discovery, and experiment automation. No framework, no lock-in — works with Claude Code, Codex, OpenClaw, or any LLM agent.
+388 stars
from 18,060 · score 5.96
4.ItzCrazyKns / Vane
Vane is an AI-powered answering engine.
+211 stars
from 37,740 · score 5.36
5.microsoft / qlib
Qlib is an AI-oriented Quant investment platform that aims to use AI tech to empower Quant Research, from exploring ideas to implementing productions. Qlib supports diverse ML modeling paradigms, including supervised learning, market dynamics modeling, and RL, and is now equipped with https://github.com/microsoft/RD-Agent to automate R&D process.
+204 stars
from 49,704 · score 5.32
6.microsoft / AI-For-Beginners
12 Weeks, 24 Lessons, AI for All!
+196 stars
from 70,248 · score 5.28
7.binhnguyennus / awesome-scalability
The Patterns of Scalable, Reliable, and Performant Large-Scale Systems
+193 stars
from 75,088 · score 5.27
8.microsoft / ML-For-Beginners
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
+185 stars
from 91,747 · score 5.23
9.eriklindernoren / ML-From-Scratch
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
+120 stars
from 33,128 · score 4.80
10.stefan-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
11.realmyang / MLView
Interactive, source-linked ML workflow diagrams written by your coding assistant (Copilot, Codex or Claude Code) and opened in VS Code.
+110 stars
from 359 · score 4.71
12.roboflow / supervision
We write your reusable computer vision tools. 💜
+93 stars
from 51,361 · score 4.54
13.GokuMohandas / Made-With-ML
Learn how to develop, deploy and iterate on production-grade ML applications.
+68 stars
from 49,824 · score 4.23
14.Avik-Jain / 100-Days-Of-ML-Code
100 Days of ML Coding
+60 stars
from 51,961 · score 4.11
15.mrdbourke / pytorch-deep-learning
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
+55 stars
from 19,274 · score 4.03
16.eugeneyan / applied-ml
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
+50 stars
from 30,716 · score 3.93
17.dipakkr / awesome-ai-engineering
🚀 A curated collection of AI engineering resources, roadmaps, tools, and projects covering LLMs, RAG, AI Agents, MCP, fine-tuning, evaluations, and production AI systems.
+46 stars
from 22,466 · score 3.85
18.AI4Finance-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
19.TheAlgorithms / C-Plus-Plus
Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.
+38 stars
from 34,803 · score 3.66
20.microsoft / onnxruntime
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
+38 stars
from 22,172 · score 3.66
21.labmlai / annotated_deep_learning_paper_implementations
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
+35 stars
from 67,600 · score 3.58
+35 stars
from 15,533 · score 3.58
23.optuna / optuna
A hyperparameter optimization framework
+35 stars
from 14,966 · score 3.58
24.UFund-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
25.openai / CLIP
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
+30 stars
from 34,523 · score 3.43
26.owainlewis / awesome-artificial-intelligence
A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers.
+30 stars
from 16,727 · score 3.43
27.lutzroeder / netron
Visualizer for neural network, deep learning and machine learning models
+29 stars
from 33,611 · score 3.40
28.serengil / deepface
A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python
+29 stars
from 23,600 · score 3.40
29.lightgbm-org / LightGBM
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.
+28 stars
from 18,915 · score 3.37
30.EthicalML / awesome-production-machine-learning
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
+26 stars
from 21,037 · score 3.30
31.JuliaLang / julia
The Julia Programming Language
+25 stars
from 49,207 · score 3.26
32.academic / awesome-datascience
:memo: An awesome Data Science repository to learn and apply for real world problems.
+23 stars
from 30,239 · score 3.18
33.esimov / caire
Content aware image resize library
+23 stars
from 10,846 · score 3.18
34.DLR-RM / stable-baselines3
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
+22 stars
from 13,934 · score 3.14
35.afshinea / stanford-cs-229-machine-learning
VIP cheatsheets for Stanford's CS 229 Machine Learning
+19 stars
from 20,340 · score 3.00
36.arc53 / DocsGPT
Private AI platform for agents, assistants and enterprise search. Built-in Agent Builder, Deep research, Document analysis, Multi-model support, and API connectivity for agents.
+19 stars
from 18,333 · score 3.00
37.explosion / spaCy
💫 Industrial-strength Natural Language Processing (NLP) in Python
+16 stars
from 33,994 · score 2.83
38.zalandoresearch / fashion-mnist
A MNIST-like fashion product database. Benchmark :point_down:
+16 stars
from 12,863 · score 2.83
39.bigscience-workshop / petals
🌸 Run LLMs at home, BitTorrent-style. Fine-tuning and inference up to 10x faster than offloading
+15 stars
from 10,664 · score 2.77
40.drivendataorg / cookiecutter-data-science
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
+13 stars
from 10,110 · score 2.64
41.AbuZar-Ansarii / PocketStrike
PocketStrike is a privacy-first mobile AI workstation. It combines zero-cloud native on-device GGUF inference (ARM NEON accelerated) │ with frontier cloud LLMs, multi-step ReAct agent tools, Model Context Protocol (MCP) servers, self-evolving cross-session memory, and FLUX neural image │ generation.
+12 stars
from 146 · score 2.56
42.AMAI-GmbH / AI-Expert-Roadmap
Roadmap to becoming an Artificial Intelligence Expert in 2022
+11 stars
from 31,319 · score 2.48
43.MorvanZhou / tutorials
机器学习相关教程
+11 stars
from 13,078 · score 2.48
44.sunlabuiuc / PyHealth
A deep learning toolkit for healthcare AI: EHR (MIMIC, eICU, OMOP), clinical text, signals and imaging. 30+ models, reproducible pipelines.
+11 stars
from 1,681 · score 2.48
45.musicinformationretrieval / musicinformationretrieval.com
Instructional notebooks on music information retrieval.
+11 stars
from 1,293 · score 2.48
46.shap / shap
A game theoretic approach to explain the output of any machine learning model.
+10 stars
from 25,832 · score 2.40
47.alex000kim / nsfw_data_scraper
Collection of scripts to aggregate image data for the purposes of training an NSFW Image Classifier
+10 stars
from 12,618 · score 2.40
48.jindongwang / transferlearning
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
+9 stars
from 14,370 · score 2.30
49.recommenders-team / recommenders
Best Practices on Recommendation Systems
+8 stars
from 21,965 · score 2.20
50.LibrePhotos / librephotos
A self-hosted open source photo management service.
+8 stars
from 8,115 · score 2.20
51.dair-ai / ml-visuals
🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.
+7 stars
from 17,437 · score 2.08
52.letianzj / QuantResearch
Quantitative analysis, strategies and backtests
+7 stars
from 3,049 · score 2.08
53.gcorso / DiffDock
Implementation of DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking
+7 stars
from 1,587 · score 2.08
54.ageitgey / face_recognition
The world's simplest facial recognition api for Python and the command line
+6 stars
from 56,856 · score 1.95
55.srush / GPU-Puzzles
Solve puzzles. Learn CUDA.
+6 stars
from 12,550 · score 1.95
56.poloclub / cnn-explainer
Learning Convolutional Neural Networks with Interactive Visualization.
+6 stars
from 9,093 · score 1.95
57.interpretml / interpret
Fit interpretable models. Explain blackbox machine learning.
+6 stars
from 6,969 · score 1.95
58.Data-Centric-AI-Community / fg-data-profiling
1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
+5 stars
from 13,740 · score 1.79
59.infinitered / nsfwjs
NSFW detection on the client-side via TensorFlow.js
+5 stars
from 9,014 · score 1.79
60.xinychen / awesome-latex-drawing
Drawing Bayesian networks, graphical models, tensors, technical frameworks, and illustrations in LaTeX.
+5 stars
from 2,064 · score 1.79
61.trekhleb / 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
62.doccano / doccano
Open source annotation tool for machine learning practitioners.
+4 stars
from 10,804 · score 1.61
63.lightly-ai / lightly
A python library for self-supervised learning and latent world models on images.
+4 stars
from 3,822 · score 1.61
64.ybayle / awesome-deep-learning-music
List of articles related to deep learning applied to music
+4 stars
from 2,995 · score 1.61
65.stefanoviana / deepalpha
AI crypto trading bot with deep neural network (84.9% accuracy, 25 coins). BiLSTM + Attention trained on GPU. Bybit, Binance, OKX, Gate.io. Free cloud or self-hosted.
+4 stars
from 50 · score 1.61
66.jacobgil / pytorch-grad-cam
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
+3 stars
from 13,000 · score 1.39
67.scikit-learn-contrib / imbalanced-learn
A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
+3 stars
from 7,131 · score 1.39
68.likedan / Awesome-CoreML-Models
Largest list of models for Core ML (for iOS 11+)
+3 stars
from 7,065 · score 1.39
69.microsoft / SynapseML
Simple and Distributed Machine Learning Python Library porting ML algorithms for Spark
+3 stars
from 5,249 · score 1.39
70.zvtvz / zvt
modular quant framework.
+3 stars
from 4,317 · score 1.39
71.libAudioFlux / audioFlux
A library for audio and music analysis, feature extraction.
+3 stars
from 3,377 · score 1.39
72.TeamHG-Memex / eli5
A library for debugging/inspecting machine learning classifiers and explaining their predictions
+3 stars
from 2,854 · score 1.39
73.dotnet / spark
.NET for Apache® Spark™ makes Apache Spark™ easily accessible to .NET developers.
+3 stars
from 2,095 · score 1.39
74.Mariewelt / OpenChem
OpenChem: Deep Learning toolkit for Computational Chemistry and Drug Design Research
+3 stars
from 756 · score 1.39
75.hindupuravinash / the-gan-zoo
A list of all named GANs!
+2 stars
from 14,698 · score 1.10
76.diff-usion / Awesome-Diffusion-Models
A collection of resources and papers on Diffusion Models
+2 stars
from 12,380 · score 1.10
77.wandb / wandb
The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
+2 stars
from 11,309 · score 1.10
78.benfred / implicit
Fast Python Collaborative Filtering for Implicit Feedback Datasets
+2 stars
from 3,832 · score 1.10
79.microsoft / tensorwatch
Debugging, monitoring and visualization for Python Machine Learning and Data Science
+2 stars
from 3,477 · score 1.10
80.PythonOT / POT
POT : Python Optimal Transport
+2 stars
from 2,858 · score 1.10
81.Hitachi-Automotive-And-Industry-Lab / semantic-segmentation-editor
Web labeling tool for bitmap images and point clouds
+2 stars
from 1,975 · score 1.10
82.graspologic-org / graspologic
Python package for graph statistics
+2 stars
from 1,019 · score 1.10
83.Teichlab / celltypist
A tool for semi-automatic cell type classification
+2 stars
from 515 · score 1.10
84.pyfenn / fenn
Friendly Environment for Neural Networks (fenn) is a simple Python framework for building ML/DL workflows and LLM agents faster, with prebuilt trainers, agent templates, logging, configuration management, and much more.
+2 stars
from 81 · score 1.10
85.HazelnutParadise / insyra
Go's answer to pandas + scikit-learn: a batteries-included data analysis library with dataframes, statistics, machine learning, quant, and GPU acceleration. Run Python with seamless two-way variable sharing, or explore data straight from the Insyra CLI.
+2 stars
from 57 · score 1.10
86.lexfridman / mit-deep-learning
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
+1 stars
from 10,460 · score 0.69
87.vaexio / vaex
Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per second 🚀
+1 stars
from 8,517 · score 0.69
88.HIPS / autograd
Efficiently computes derivatives of NumPy code.
+1 stars
from 7,549 · score 0.69
89.jmschrei / pomegranate
Fast, flexible and easy to use probabilistic modelling in Python.
+1 stars
from 3,546 · score 0.69
90.guillaume-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
91.modAL-python / modAL
A modular active learning framework for Python
+1 stars
from 2,375 · score 0.69
92.patterns-ai-core / langchainrb
Build LLM-powered applications in Ruby
+1 stars
from 2,006 · score 0.69
93.xmartlabs / Bender
Easily craft fast Neural Networks on iOS! Use TensorFlow models. Metal under the hood.
+1 stars
from 1,802 · score 0.69
94.jiachenli94 / Awesome-Interaction-Aware-Trajectory-Prediction
A selection of state-of-the-art research materials on trajectory prediction
+1 stars
from 1,695 · score 0.69
95.Data-Centric-AI-Community / fg-data-synthetic
Synthetic data generators for tabular and time-series data
+1 stars
from 1,661 · score 0.69
96.owlbarn / owl
Owl - OCaml Scientific Computing @ https://ocaml.xyz
+1 stars
from 1,356 · score 0.69
97.sentinel-hub / eo-learn
Earth observation processing framework for machine learning in Python
+1 stars
from 1,255 · score 0.69
98.Dobiasd / frugally-deep
A lightweight header-only library for using Keras (TensorFlow) models in C++.
+1 stars
from 1,128 · score 0.69
99.Toni-SM / skrl
Modular Reinforcement Learning (RL) library (implemented in PyTorch, JAX, and NVIDIA Warp) with support for Gymnasium/Gym, NVIDIA Isaac Lab, MuJoCo Playground and other environments
+1 stars
from 1,100 · score 0.69
100.molecularsets / moses
Molecular Sets (MOSES): A Benchmarking Platform for Molecular Generation Models
+1 stars
from 996 · score 0.69