transformers

Tools for understanding how transformer predictions are built layer-by-layer

Flexible components pairing 🤗 Transformers with :zap: Pytorch Lightning

Build high-performance AI models with modular building blocks

Self-evaluating interview for AI coders

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

Implementation of π₀, the robotic foundation model architecture proposed by Physical Intelligence

tensorflow를 사용하여 텍스트 전처리부터, Topic Models, BERT, GPT, LLM과 같은 최신 모델의 다운스트림 태스크들을 정리한 Deep Learning NLP 저장소입니다.

Natural Language Processing with Transformers 中译本，最权威Transformers教程

An AI framework for generating and modding osu! beatmaps for all gamemodes from spectrogram inputs.

A flexible, adaptive classification system for dynamic text classification

GuwenBERT: 古文预训练语言模型（古文BERT） A Pre-trained Language Model for Classical Chinese (Literary Chinese)

Vector Hub - Library for easy discovery, and consumption of State-of-the-art models to turn data into vectors. (text2vec, image2vec, video2vec, graph2vec, bert, inception, etc)

Implementation of NÜWA, state of the art attention network for text to video synthesis, in Pytorch

PECOS - Prediction for Enormous and Correlated Spaces

Happy Transformer makes it easy to fine-tune and perform inference with NLP Transformer models.

Python + Inference - Model Deployment library in Python. Simplest model inference server ever.

Unofficial implementation of iTransformer - SOTA Time Series Forecasting using Attention networks, out of Tsinghua / Ant group

Implementation of Parti, Google's pure attention-based text-to-image neural network, in Pytorch

[MICCAI 2023] MedNeXt is a fully ConvNeXt architecture for 3D medical image segmentation.

Explore a comprehensive collection of resources, tutorials, papers, tools, and best practices for fine-tuning Large Language Models (LLMs). Perfect for ML practitioners and researchers!