pytorch

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

[CVPR'25-Demo] Official repository of "TryOffDiff: Virtual-Try-Off via High-Fidelity Garment Reconstruction using Diffusion Models".

Easiest way of fine-tuning HuggingFace video classification models

Adaptation of the merging method described in the paper - Git Re-Basin: Merging Models modulo Permutation Symmetries (https://arxiv.org/abs/2209.04836) for Stable Diffusion

[COLM-2024] List Items One by One: A New Data Source and Learning Paradigm for Multimodal LLMs

BERT classification model for processing texts longer than 512 tokens. Text is first divided into smaller chunks and after feeding them to BERT, intermediate results are pooled. The implementation allows fine-tuning.

Implementation of Toolformer: Language Models Can Teach Themselves to Use Tools

X-Transformer: Taming Pretrained Transformers for eXtreme Multi-label Text Classification

Universal Python SDK to run AI workloads on Kubernetes

Code for Editing Factual Knowledge in Language Models

1-shot image segmentation using Stable Diffusion

Highly commented implementations of Transformers in PyTorch

AI model that understands text & humanoids.

Educational implementation of the Discrete Flow Matching paper

Mongolian speech recognition with PyTorch

Using pre-trained BERT models for Chinese and English NER with 🤗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.

A minimal implementation of a denoising diffusion model in PyTorch.

Finetune LLaMA-7B with Chinese instruction datasets

PyTorch tutorials A to Z