transformers

Extensive tutorials for the Advanced NLP Workshop in Open Data Science Conference Europe 2020. We will leverage machine learning, deep learning and deep transfer learning to learn and solve popular tasks using NLP including NER, Classification, Recommendation \ Information Retrieval, Summarization, Classification, Language Translation, Q&A and Topic Models.

Recognize bio-medical entities from a text corpus

Implementation of STAM (Space Time Attention Model), a pure and simple attention model that reaches SOTA for video classification

A large-scale multi-modal pre-trained model

Code associated with the "Data Augmentation using Pre-trained Transformer Models" paper

Run local LLM from Huggingface in React-Native or Expo using onnxruntime.

PyTorch tutorials A to Z

CLI & Python API to easily summarize text-based files with transformers

[AAAI-2025] This repository contains MAPF-GPT, a deep learning-based model for solving MAPF problems. Trained with imitation learning on trajectories produced by LaCAM, it generates actions under partial observability without heuristics or agent communication. MAPF-GPT excels on unseen instances and outperforms learnable state-of-the-art solvers

Google's SoundStorm: Efficient Parallel Audio Generation

Official implementation of the WACV 2025 paper "Pix2Poly: A Sequence Prediction Method for End-to-end Polygonal Building Footprint Extraction from Remote Sensing Imagery".

nano-vllm是开源的一个gpu推理项目，基于开源版本弄的一个ascend npu版本推理小demo，旨在帮助初学者了解推理的整体流程，区别于vllm，nano-vllm体量更小，麻雀虽小五脏俱全，更有助于初学者学习。

Efficient World Models with Context-Aware Tokenization. ICML 2024

A curated list of the top 10 computer vision papers in 2021 with video demos, articles, code and paper reference.

Implementation of RQ Transformer, proposed in the paper "Autoregressive Image Generation using Residual Quantization"

Visual knowledge bank for understanding large language models, with 180 concept cards from tokenization to deployment.

Implementation of the Large Behavioral Model architecture for dexterous manipulation from Toyota Research Institute

Segmentation deep learning ALgorithm based on MONai toolbox: single and multi-label segmentation software developed by QIMP team-Vienna.

PyTorch code for “TVLT: Textless Vision-Language Transformer” (NeurIPS 2022 Oral)

Outlining techniques for improving the training performance of your PyTorch model without compromising its accuracy