1.rohitg00 / ai-engineering-from-scratch
Learn AI Engineering! Learn it. Build it. Ship it for others.
Ranked by Attention Score: stars gained over the last 90 complete days
1–100 of 220 by Attention Score · Aug 5, 2026 – Nov 2, 2026 (UTC)
Learn AI Engineering! Learn it. Build it. Ship it for others.
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
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.
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Ultralytics YOLO27, YOLO26, YOLO11, YOLOv8 — object detection, instance segmentation, semantic segmentation, image classification, pose estimation, object tracking
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.
《动手学深度学习》:面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。
We write your reusable computer vision tools. 💜
Machine Learning Systems: Foundations, Scaling, Agentic AI, and Physical AI (Vols I–IV) • Harvard CS249r | https://mlsysbook.ai
Faster Whisper transcription with CTranslate2
Stable Diffusion web UI
Nano vLLM
A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers.
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.
Streamlit — A faster way to build and share data apps.
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.
Ultralytics YOLOv5 in PyTorch for object detection, instance segmentation, classification, training, and export.
🧑🏫 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, ... 🧠
🐫 CAMEL: The first and the best multi-agent framework. Finding the Scaling Law of Agents. https://www.camel-ai.org
Deepfakes Software For All
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python
JARVIS, a system to connect LLMs with ML community. Paper: https://arxiv.org/pdf/2303.17580.pdf
🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production
🐍 Geometric Computer Vision Library for Spatial AI
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
Open standard for machine learning interoperability
A Library for Advanced Deep Time Series Models for General Time Series Analysis.
The AI Compute Platform for frontier teams. SkyPilot turns fragmented AI compute into one AI supercomputer, so frontier AI teams build custom intelligence faster.
Translate manga/image 一键翻译各类图片内文字 https://cotrans.touhou.ai/ (no longer working)
Clone a voice in 5 seconds to generate arbitrary speech in real-time
🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools
Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
Python 开源项目之「自学编程之路」,保姆级教程:AI实验室、宝藏视频、数据结构、学习指南、机器学习实战、深度学习实战、网络爬虫、大厂面经、程序人生、资源分享。
Deep Learning for humans
A collaboration friendly studio for NeRFs
💫 Industrial-strength Natural Language Processing (NLP) in Python
AI Toolkit for Healthcare Imaging
Open Machine Learning Compiler Framework
Fast and Accurate ML in 3 Lines of Code
The Triton Inference Server provides an optimized cloud and edge inferencing solution.
🌸 Run LLMs at home, BitTorrent-style. Fine-tuning and inference up to 10x faster than offloading
Deezer source separation library including pretrained models.
An open source implementation of CLIP.
Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology
Image annotation with Python. Supports polygon, rectangle, circle, line, point, and AI-assisted annotation.
Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"
A PyTorch-based Speech Toolkit
Graph Neural Network Library for PyTorch
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
deep learning for image processing including classification and object-detection etc.
20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale.
Best Practices on Recommendation Systems
PyTorch Tutorial for Deep Learning Researchers
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
pix2tex: Using a ViT to convert images of equations into LaTeX code.
RWKV (pronounced RwaKuv) is an RNN with great LLM performance, which can also be directly trained like a GPT transformer (parallelizable). We are at RWKV-7 "Goose". So it's combining the best of RNN and transformer - great performance, linear time, constant space (no kv-cache), fast training, infinite ctx_len, and free sentence embedding.
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.
YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/
An open-source, tool-augmented conversational language model from Fudan University
PennyLane is an open-source quantum software platform for quantum computing, quantum machine learning, and quantum chemistry. Create meaningful quantum algorithms, from inspiration to implementation.
The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
Making large AI models cheaper, faster and more accessible
(⌐■_■) - Deep Reinforcement Learning instrumenting bettercap for WiFi pwning.
A python library for user-friendly forecasting and anomaly detection on time series.
ZenML 🙏: One AI Platform from Pipelines to Agents. https://zenml.io.
A MNIST-like fashion product database. Benchmark :point_down:
Image-to-Image Translation in PyTorch
Hierarchical Reasoning Model Official Release
A unified, comprehensive and efficient recommendation library
Visual localization made easy with hloc
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
Scalable and user friendly neural :brain: forecasting algorithms.
🚀Clone a voice in 5 seconds to generate arbitrary speech in real-time
BirdNET analyzer for scientific audio data processing.
Implementation of Denoising Diffusion Probabilistic Model in Pytorch
Code and documentation to train Stanford's Alpaca models, and generate the data.
DeepFaceLab is the leading software for creating deepfakes.
Low-code framework for building custom LLMs, neural networks, and other AI models
PyTorch implementation of YOLOv3, YOLOv3-SPP, and YOLOv3-tiny for real-time object detection with training, validation, inference, and multi-format export.
Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
100-Days-Of-ML-Code中文版
A deep learning toolkit for healthcare AI: EHR (MIMIC, eICU, OMOP), clinical text, signals and imaging. 30+ models, reproducible pipelines.
AgML is a centralized framework for agricultural machine learning. AgML provides access to public agricultural datasets for common agricultural deep learning tasks, with standard benchmarks and pretrained models, as well the ability to generate synthetic data and annotations.
Deep universal probabilistic programming with Python and PyTorch
Deep probabilistic analysis of single-cell and spatial omics data
StarDist - Object Detection with Star-convex Shapes
☁️ Build multimodal AI applications with cloud-native stack
Minimal and clean examples of machine learning algorithms implementations
Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.
Face recognition using Tensorflow
TensorFlow-based neural network library
A python library for self-supervised learning and latent world models on images.