A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

A one stop repository for generative AI research updates, interview resources, notebooks and much more!

Learn how to design, develop, deploy and iterate on production-grade ML applications.

Modern Computer Vision with PyTorch, 2E, Published by Packt

Best Practices, code samples, and documentation for Computer Vision.

Examples and tutorials on using SOTA computer vision models and techniques. Learn everything from old-school ResNet, through YOLO and object-detection transformers like DETR, to the latest models l…

streamline the fine-tuning process for multimodal models: PaliGemma, Florence-2, and Qwen2-VL

Automatically find issues in image datasets and practice data-centric computer vision.

A curated list of papers on large-scale graph learning.

Fine-Tuning and Analyzing Vision-Language Models Paligemma Vision-Language Model Fine-Tuning IDEFICS2 Paper Analysis and Vision-Language Fine-Tuning Advanced Techniques in Vision-Language Model Fin…

Inside Deep Learning: The math, the algorithms, the models

500 AI Machine learning Deep learning Computer vision NLP Projects with code

High quality resources & applications for LLMs, multi-modal models and VectorDBs

All the available resources to master MLOPS from scratch