transformers

Implementation of LVSM, SOTA Large View Synthesis with Minimal 3d Inductive Bias, from Adobe Research

MedViTV2: Medical Image Classification with KAN-Integrated Transformers and Dilated Neighborhood Attention (Applied Soft Computing 2025)

The official implementation of "EmoBERTa: Speaker-Aware Emotion Recognition in Conversation with RoBERTa"

[IEEE TIP 2022] Official implementation of MATR: Multimodal Medical Image Fusion via Multiscale Adaptive Transformer

A Transformer made of Rotation-equivariant Attention using Vector Neurons

AI-powered universal search for all your personal data, tailored just for you. Goal:The world's first product with "edge-side LLMs + consumer data localization" as its core development direction.

Implementation of Uniformer, a simple attention and 3d convolutional net that achieved SOTA in a number of video classification tasks, debuted in ICLR 2022

Official Pytorch Implementation of Length-Adaptive Transformer (ACL 2021)

Implementation of Logistic Regression, MLP, CNN, RNN & LSTM from scratch in python. Training of deep learning models for image classification, object detection, and sequence processing (including transformers implementation) in TensorFlow.

lm-scratch-pytorch - The code is designed to be beginner-friendly, with a focus on understanding the fundamentals of PyTorch and implementing LLMs from scratch,step by step.

This paper list focuses on the theoretical and empirical analysis of language models, especially large language models (LLMs). The papers in this list investigate the learning behavior, generalization ability, and other properties of language models through theoretical analysis, empirical analysis, or a combination of both.

Generate realistic Instagram captions using transformers 🤗

[CVPR 2024] Multimodal Pathway: Improve Transformers with Irrelevant Data from Other Modalities

Implementation of Hourglass Transformer, in Pytorch, from Google and OpenAI

Tensorflow and Keras implementation of the state of the art researches in Dialog System NLU

Implementation of AlphaGenome, Deepmind's updated genomic attention model

[ICLR2025 Oral] ChartMoE: Mixture of Diversely Aligned Expert Connector for Chart Understanding

pytorch를 사용하여 텍스트 전처리부터 RAG, 에이전트, LLM 파인튜닝을 정리한 Deep Learning NLP 저장소입니다.

Multi-Class Text Classification for products based on their description with Machine Learning algorithms and Neural Networks (MLP, CNN, Distilbert).

EN to JP and JP to EN with transformer models