This repository contains a hand-curated resources for Prompt Engineering with a focus on Generative Pre-trained Transformer (GPT), ChatGPT, PaLM etc

A professionally curated list of awesome resources (paper, code, data, etc.) on transformers in time series.

A curated list of Graph/Transformer-based fraud, anomaly, and outlier detection papers & resources

A curated list of NLP resources focused on Transformer networks, attention mechanism, GPT, BERT, ChatGPT, LLMs, and transfer learning.

🤖 A PyTorch library of curated Transformer models and their composable components

A curated list of Decision Transformer resources (continually updated)

A curated list of awesome transformer models.

A curated list of awesome resources combining Transformers with Neural Architecture Search

An app to make it easier to explore and curate output from a Music Transformer

This repository contains a curated list of free and high-quality resources for learning various topics in artificial intelligence, including deep learning, natural language processing, computer vision, reinforcement learning, MLOps, multimodal machine learning, transformers, and prompt engineering.

A curated repository designed to serve as a comprehensive guide for researchers interested in the intersection of Transformer models and genomics. This repository compiles key academic papers that demonstrate the application of transformer-based models in genomics, providing users with a valuable resource to navigate this rapidly evolving field.

A curated list of resources focused on Visual AutoRegressive Modeling, makes GPT-style AR models surpass diffusion transformers in image generation.

spaCy entry points for Curated Transformers

A curated list of transformer learning materials, shared blogs, technical reviews.

Curated set of transformers that make your work with steppy faster and more effective :telescope:

Curated list on Deep Transformers Applications on Biology and Chemistry

A curated resource for mastering Transformers and Hugging Face libraries, featuring practice problems, code examples, and interview-focused NLP concepts. Covers model fine-tuning, tokenization, and deployment with Python for technical interview success.

A curated collection of links to Google's 8 FREE AI courses covering topics like generative AI, image generation, responsible AI, language models, transformers, BERT, attention mechanism, and image recognition.

"Discover a curated directory of GPTs (Generative Pre-trained Transformers) and their stores. Explore the world of AI-powered language models, find the right GPT for your project, and stay up-to-date with the latest developments. Streamline your AI journey with this comprehensive GPTs resource."

A curated collection of NLP and LLM resources. Covers essential papers and blogs on Transformers, Reinforcement Learning (RLHF, DPO, GRPO), Mechanistic Interpretability, Scaling Laws, and MLSys.

A curated list of resources dedicated to Transformers.

A curated set of Jupyter notebooks showcasing various PyTorch projects and tutorials, covering deep learning fundamentals, computer vision, GANs, transfer learning, transformers and more. Continuously updated with new experiments, models and practical implementations for learning and research.

This collection brings together the highest-signal research papers in modern AI from the invention of the Transformer to the frontier work of 2024–2025 into a single, curated map of the field

A curated list of resources dedicated to Transformer

A complete 12-week roadmap to learn Generative AI from scratch – covering Transformers, GANs, Diffusion Models, Prompt Engineering, Fine-Tuning, and Deployment with curated YouTube, MIT, and AI resources

A curated collection of PyTorch implementations, featuring Deep Learning and Reinforcement Learning algorithms (e.g., Transformers, Q-Learning).

AEGIS is a transformer-based Python vulnerability detection model with a touch of CNN. It identifies security flaws like SQL injection and XSS in Python code. The project includes a curated dataset from real-world code and synthetic examples.

A curated collection of Jupyter notebooks and scripts demonstrating how to load, fine-tune, and deploy transformer-based NLP models with the HuggingFace Transformers library. Includes hands-on examples for text generation, classification, summarization, and more—designed for clarity, reproducibility, and easy extension.

Deep learning framework for multiclass skin lesion classification for mobile-acquired images. Includes curated dataset (70+ categories), CNN and Transformer models, and Grad-CAM–based interpretability.

MindMood Recs is an AI-powered app that gives personalized book, and movie recommendations based on your mood. Just type how you're feeling — happy, anxious, romantic, anything — and it uses natural language understanding to match your vibe to curated suggestions. Built with Streamlit and sentence-transformers.