transformer-models

An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites

Fast inference engine for Transformer models

LLM notes, including model inference, transformer model structure, and llm framework code analysis notes.

FlashAttention (Metal Port)

💭 Aspect-Based-Sentiment-Analysis: Transformer & Explainable ML (TensorFlow)

Based on the Pytorch-Transformers library by HuggingFace. To be used as a starting point for employing Transformer models in text classification tasks. Contains code to easily train BERT, XLNet, RoBERTa, and XLM models for text classification.

MinT: Minimal Transformer Library and Tutorials

TypeScript SDK for different in-browser AI model providers, built to make client-side AI integration simpler and more consistent across vendors.

Interpret text data with LLMs (sklearn compatible).

Codebase and CLI for PLAPT: A state-of-the-art protein-ligand binding affinity model for drug discovery

My implementation of "Algorithm of Thoughts: Enhancing Exploration of Ideas in Large Language Models"

Vision Transformers for image classification, image segmentation, and object detection.

🤖📇 handling multiple nlp task in one pipeline

MathBot is a transformer-based Math Word Problem (MWP) solver made as the Lab project for CSE 4622: Machine Learning Lab.