Presidio Research alternatives for AI agents.

Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages

💫 Industrial-strength Natural Language Processing (NLP) in Python

NLTK Source

12 Weeks, 24 Lessons, AI for All!

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

A game theoretic approach to explain the output of any machine learning model.

ModelScope: bring the notion of Model-as-a-Service to life.

⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 or handson-mlp instead.

The fastai deep learning library

Implement a ChatGPT-like LLM in PyTorch from scratch, step by step

A log of things I'm learning

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.

A collection of tutorials on state-of-the-art computer vision models and techniques. Explore everything from foundational architectures like ResNet to cutting-edge models like RF-DETR, YOLO11, SAM 3, and Qwen3-VL.

🤗 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.

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.