transformers

Official codebase for "Next-Latent Prediction Transformers Learn Compact World Models"

Teaching transformers to play chess

Official code for NeurIPS 2024 paper LRM-Zero: Training Large Reconstruction Models with Synthesized Data

Implementation of the LongRoPE: Extending LLM Context Window Beyond 2 Million Tokens Paper

Implementation of ETSformer, state of the art time-series Transformer, in Pytorch

PHP library for building LLM-based and AI-based features and applications.

Build your own Face App with Stable Diffusion 2.1

A Greek edition of BERT pre-trained language model

A Framework for Textual Entailment based Zero Shot text classification

Stable and Efficient Reinforcement Learning for Trillion-Parameter LLMs

A multi-modal CLIP model trained on the medical dataset ROCO

This is the corresponding code for the book Transformers in Action

OFASys: A Multi-Modal Multi-Task Learning System for Building Generalist Models

deep learning

DocMind AI is a powerful, open-source Streamlit application leveraging LlamaIndex, LangGraph, and local Large Language Models (LLMs) via Ollama, LMStudio, llama.cpp, or vLLM for advanced document analysis. Analyze, summarize, and extract insights from a wide array of file formats, securely and privately, all offline.

Easiest way of fine-tuning HuggingFace video classification models

[ICLR 2025] AuroraCap: Efficient, Performant Video Detailed Captioning and a New Benchmark

transformers go brrr...

HiFormer: Hierarchical Multi-scale Representations Using Transformers for Medical Image Segmentation (WACV 2023)

Learn Generative AI with PyTorch (Manning Publications, 2024)